AI Engineer jobs in Israel

Description About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Job Summary We are seeking a highly skilled and motivated Senior Software Engineer GenAI to join our growing R&D team. In this role, you'll design, develop, and scale our next-generation backend platform, AI-driven workflows, and GenAI applications. You'll work with modern cloud technologies and LLMs to build resilient, high-performance systems while contributing to architecture, technical leadership, and mentoring. This role is ideal for an experienced backend engineer who enjoys solving complex technical challenges, building scalable systems, and working with cutting-edge AI technologies. Key Responsibilities • Design and develop scalable backend services using Python. • Build resilient distributed systems, microservices, and AI-driven workflows. • Integrate Large Language Models (LLMs) using AWS Bedrock and other AWS services. • Design and implement event-driven architectures and modern APIs. • Optimize databases, search capabilities, and caching strategies to support high-performance applications. • Contribute to cloud infrastructure, CI/CD pipelines, and observability practices. • Collaborate with Product, Data Science, and Engineering teams to deliver scalable solutions. • Provide technical leadership through architecture discussions, mentoring, and hands-on development. Requirements • 5+ years of backend software engineering experience. • Strong Python development skills, preferably with FastAPI and/or Django. • Experience designing scalable distributed systems and microservice architectures. • Experience building AI-powered applications or integrating LLMs (AWS Bedrock preferred). • Experience working with SQL and NoSQL databases, ORM frameworks, and query optimization. • Familiarity with event-driven architectures, messaging technologies (Kafka, Celery, or similar), and distributed caching (Redis). • Experience building REST, GraphQL, or gRPC APIs using Nest.JS or FastAPI or Django and LiteStar. • Experience with Docker, CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native development. • Knowledge of monitoring and observability tools such as OpenTelemetry, Prometheus, Grafana, Datadog, or similar. Nice-to-Have Skills • Experience with Retrieval-Augmented Generation (RAG) or vector search technologies. • Experience with OpenSearch or graph databases such as Neo4J / Neptune. • Frontend experience with React or Angular. • Experience working in enterprise or highly regulated environments. Why work for us? Our team inspires progress in each other and in our customers through our relentless pursuit of excellence. You'll work alongside experienced technical leaders who encourage innovation, continuous learning, and professional growth. We offer competitive salaries, bonus incentives, comprehensive benefits, flexible working hours, and the opportunity to build cutting-edge AI solutions on AWS. Apply now to become part of the team. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis protected under applicable law.

Description About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Job Summary AllCloud is seeking a Senior Generative AI Engineer to lead the design, development, and deployment of cutting-edge Gen AI solutions. This role is ideal for experienced AI professionals with a strong technical background, a track record of delivering scalable AI systems, and the ability to mentor and guide team members. The Senior Engineer will drive end-to-end AI projects, architect reliable AI platforms, and collaborate closely with product, engineering, and business teams to deliver high-impact solutions. Summary of Key Responsibilities • Lead the design and implementation of Gen AI platform components using Python and modern microservices. • Drive engineering and operational best practices across AI projects. • Collaborate with technical, product, and business teams to deliver customer value and define product vision. • Lead end-to-end development of AI systems, including research, experimentation, deployment, and scaling. • Mentor and support engineers, fostering collaboration, knowledge-sharing, and continuous learning. • Analyze complex problems, define requirements, and propose AI-driven solutions. • Apply DevOps principles to maintain secure, scalable, and high-performance AI systems. • Design and implement secure APIs for safe interaction with AI models. • Stay up-to-date with the latest Gen AI technologies and trends, and bring innovation to the team. Requirements • 5+ years of experience in AI, ML, or software engineering, with at least 2 years focused on Generative AI. • Strong understanding of LLMs, RAG techniques, fine-tuning, inference, and Gen AI workflows. • Expertise in Python and relevant Gen AI libraries and frameworks (PyTorch, TensorFlow, HuggingFace). • Experience designing, deploying, and scaling AI platforms and microservices. • Familiarity with vector databases (OpenSearch, Pinecone, FAISS) for data storage and retrieval. • Excellent problem-solving, analytical, and leadership skills. • Strong interpersonal, team, and communication skills. • Academic degree in Computer Science, AI, Data Science, or equivalent; advanced degree preferred. Certifications • AWS Machine Learning Specialty (Strongly Preferred) • AWS Solutions Architect – Associate (Strongly Preferred) • AWS Solutions Architect – Professional (Preferred) Why Work for Us? At AllCloud, you will lead the development of next-generation AI solutions and mentor a high-performing engineering team. We offer competitive salaries, flexible working hours, mentorship, benefits, and opportunities to influence product vision and Gen AI innovation. AllCloud is an Equal Opportunity Employer and considers applicants for employment regardless of race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law.

Who are we? Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and data-driven performance media to enable smarter decision-making, increased efficiency, and maximized ROI for businesses worldwide. Our platform helps manage approximately $10B in annual ad spend through partnerships with Google, Meta, Amazon, Microsoft, and others. Founded in 2006, Skai is a global company with around 650 employees. We operate in a hybrid work model that combines remote flexibility with in-office collaboration. What will you do? As an AI Engineer, your primary focus will be delivering working features while adopting a Builder Mindset to shape the future of software development at Skai. You will leverage cutting-edge GenAI tools (such as Claude Code and others) to accelerate development, streamline workflows, and bring high-quality, production-ready features to life. In this role, you will work closely with PMs, designers, and fellow engineers across frontend, backend, and data domains. You will use AI to tackle complex debugging, conduct research, and eliminate repetitive tasks—continuously improving your productivity while delivering functional, impactful features within your pod. Responsibilities: Feature Delivery: Own and deliver working features from end to end, contributing production-ready code with guidance and driving tangible product value. AI-Accelerated Development: Utilize GenAI tools (e.g., Claude Code) to accelerate feature development, improve personal productivity, and optimize daily workflows. Problem Solving & Debugging: Leverage AI for rapid debugging, technical research, and reducing repetitive manual work during feature delivery. Cross-Domain Collaboration: Build a solid understanding across product, frontend, backend, and data domains, collaborating effectively with PMs, designers, and engineers. Context & Documentation: Document technical decisions clearly and contribute to building shared team context and knowledge bases. Continuous Learning & Adaptability: Learn the tech stack quickly, adapt smoothly to new tools/workflows, and actively apply feedback to grow as a builder. Pod Reliability: Act as a dependable, collaborative contributor within your pod, helping drive team momentum and execution. Requirements 2–5 years of experience in software development. Relevant Academic Degree (B.Sc. in Computer Science, Software Engineering, or related fields) OR Relevant Military Experience (e.g., tech/intelligence units such as 8200, Mamram, Ofek, etc.). Builder Mindset: Strong passion for GenAI tools (such as Claude Code, etc.) and a proven desire to integrate them into daily coding workflows. Ability to quickly learn new tech stacks, adapt to changing tools, and translate feedback into rapid growth. Strong cross-domain curiosity - eager to understand product context, backend logic, frontend UX, and data flow. Excellent communication skills and a strong collaborative mindset in a hybrid working environment.

Conifers is transforming security operations centers (SOCs) with CognitiveSOC™, its AI SOC platform, enabling enterprises and MSSPs to achieve SOC excellence. By leveraging agentic AI, Conifers helps security teams investigate complex, multi-tier incidents with speed, accuracy, and trust. Led by seasoned cybersecurity leaders and backed by SYN Ventures, PICUS Capital, and others, the company brings deep industry knowledge and innovation to an increasingly AI-driven threat landscape. We’re building an AI-native security platform that enables autonomous agents to investigate real-world threats at a massive scale. About The Role : You’ll build real AI systems running in production, where intelligent agents and robust backend architecture work together to investigate security incidents for real customers. If you enjoy turning cutting-edge AI into reliable, scalable production systems, you’ll feel at home here. What You’ll Do : • Design, build, and ship major end-to-end features • Lead development of AI agents operating in production environments • Architect and scale Python-based distributed backend systems • Make key technical decisions that shape the evolution of an AI-first platform • Build systems that combine LLMs, reasoning flows, orchestration, and classic backend engineering • Work closely with Product, Design, Security Researchers, and GTM teams • Bring clarity, ownership, and strong engineering standards to the team What You’ll Bring : • 5+ years of software engineering experience • Strong software engineering background, with the ability to build production-grade systems beyond research, experimentation, or prompt engineering • Hands-on experience building and operating production-grade AI/LLM systems, ideally including agentic workflows, tool-calling, orchestration, evaluations, or multi-step reasoning systems • Strong backend expertise, including Python, distributed systems, and cloud-native architecture • Experience designing systems that balance AI components with reliable backend infrastructure • Ability to take ambiguous problems and turn them into structured, scalable solutions • Strong ownership mindset and bias for action • Full professional fluency in English Nice to Have : • Experience in the cybersecurity domain • Experience building security or AI-driven products • Experience working in a fast-paced startup environment Our Commitment : We are an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-AM1 #LI-Hybrid

Description Alice's RL Environments team builds adversarial environments that the world's leading AI labs use to test and train their most capable agents. Each environment is a working replica of a real system with an attack planted inside it. A verifier decides whether the agent held up. The environments run on AgenticVerse, our platform for building and running RL environments at scale. A large and fast-growing community of researchers works on it every day. We're looking for a Senior AI Engineer to own those environments and the evaluation that decides which tasks are good enough to train a frontier model. What you'll do RL environments • Build RL environments end to end: the replica systems, the planted attack, and the verifier that grades the run • Own environment and verifier design for tool-use, web, and computer-use agents • Make environments airtight: sandboxed, free of eval-awareness cues, and closed to reward hacking • Read rollout traces, find where the agent took a shortcut, and close it Task evaluation • Own Alice's proprietary task evaluator, the engine that decides whether a task is ready for a frontier lab • Make it the industry's sharpest quality bar for RL tasks: realism, threat-model accuracy, and training value • Keep it learning: every customer review and every post-training run makes it stricter Run infrastructure • Scale the run pipeline: queue-driven runners on Kubernetes, per-run sandboxes, and a grader the agent can't reach • Package environments so they drop into customer training and evaluation pipelines Working with Research • Work with researchers as one team, from a task idea to an environment that's ready to train on • Turn what post-training runs reveal into fixes in the environments • Review designs and code, and raise the engineering bar for the people around you Requirements What we're looking for • 6+ years as a backend engineer, building production systems • BSc in Computer Science or a related field, preferably from a leading university • Strong Python, and production experience with Docker, Kubernetes, and cloud infrastructure (AWS preferred) • Experience designing distributed systems and message queues • A track record of owning systems from design to production • High autonomy in an undefined space. You take a loose problem and come back with working code • Fluent written and spoken English Advantage • Academic background in AI or machine learning: a degree, thesis, or research • Hands-on AI engineering: building with LLMs, agents, or evaluations • Exposure to post-training: RL fine-tuning, reward design, or rollout analysis • Background in security, red teaming, or trust and safety About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice is a leading platform for Trust & Safety teams worldwide, leveraging cutting‑edge AI and world‑class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever‑changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities • Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers. • Develop, deploy and integrate AI solutions and agentic frameworks, creating both command‑line tools and interactive notebooks that support our team’s research and workflow automation needs. • Build and manage data pipelines and databases (SQL) for large‑scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation. • Integrate research into production by implementing the latest generative AI advancements (including white‑box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows. • Integration & Orchestration: Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings • Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end‑to‑end processes for prompt generation, labeling, and response evaluation. Requirements Must-to-have • B.Sc. in Computer Science, Computer Engineering, or a related field (or equivalent hands‑on experience). • 5+ years of experience delivering large‑scale, high‑performance systems on AWS, with an emphasis on orchestrating data pipelines and AI workflows in production environments. • Expertise in scripting and automation using Python and shell; proven ability to write clean IaC and CI/CD pipelines. • Strong understanding of Linux systems, networking, and distributed system design. • Ability to break down monolithic systems into scalable, loosely coupled services and microservices. • Strong cross‑functional communication and collaboration skills, with a DevOps mindset to drive best practices across teams. • Hands‑on experience deploying and integrating generative AI models (e.g., large language models or other AI/ML models) in production. • Hands‑on experience deploying MCP clients/servers and integrating them into automated AI workflows. Nice-to-Have • M.Sc. in Computer Science, Computer Engineering, or a related field. • Experience with large‑scale cluster management or HPC scheduling tools (e.g., Slurm). • Knowledge of advanced observability and monitoring tools such as Prometheus and Grafana. • Experience with cloud cost optimization (FinOps concepts) and exposure to infrastructure security tools or configuration management for compliance. • Hands‑on experience working with A2A protocol. Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, Alice empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

About Us OurRitual is a fast-growing digital platform revolutionizing relationship guidance. We provide expert-led sessions, personalized pathways, and engaging content to help individuals and couples work through relationship challenges. We are now scaling and looking for the right people to join our (great!) team to continue delivering exceptional experiences to our users. Role Overview We are looking for a Generative AI Engineer to lead our AI efforts end-to-end — from infrastructure and production systems to internal adoption and cross-team enablement. You will play a significant role in building the world's first Consumer Therapy AI Product (someone said RAG? But we mean a real one that works in production...). This is a critical role in a high-growth, fast-paced B2C startup, requiring a leader who can advocate for Engineering requirements, tech-debt and best practices while promoting a product-mindset and putting our customers front and center. About You • You are a great human being and you’re all into teamwork. you care about how people will feel inside the organization and set high standard for culture, professionalism and maturity. • A Doer, hands-on, biased for action and not taking an advisory role. Know how to translate challenges into actions. Able to work both individually and manage multiple priorities while driving others around you for action. • You're a fast learner, jack of all trades, feel comfortable in a fast paced, ever-changing environment. You can break down complex problems into steps and plot clearly how to get from A to Z while having the ability to zoom out and see the bigger picture. • You are an experienced hands on engineer, with proven experience with Developing LLM based products, with a real passion to AI and LLM, eager to learn about very new model and technology in this domain, and have a real understanding of the AI ecosystem. Key Responsibilities AI Infrastructure & Production • Own and design GenAI architecture (LLMs, pipelines, agents) • Build and ship AI features into production • Integrate enterprise models (OpenAI, Anthropic, Google) • Optimize cost, latency, and reliability (tokens, caching, evals) • Handle real-world constraints (context window, hallucinations) Prompt Engineering & Product Collaboration • Lead prompt design and experimentation across teams • Work with product, copy, and operations on AI-driven features • Build and evaluate prompt pipelines (quality, consistency) Research & Innovation • Stay up to date with GenAI ecosystem (models, tools, frameworks) • Evaluate and implement frameworks (LangGraph, LangChain, etc.) • Prototype quickly and iterate in a startup environment Required Skills & Qualifications • ~1+ year experience with Generative AI / LLMs • 5+ years experience with Backend engineering • Experience shipping GenAI features to production • Strong hands on, production grade backend/software engineering skills (Python preferred) • Experience with major AI providers (OpenAI, Anthropic, Google) • Prompt engineering and LLM behavior knowledge • Understanding Agents / multi-step workflows • Experience with AI frameworks (LangChain, LangGraph, etc.) • Familiarity with embeddings / vector databases • Excellent problem-solving skills with demonstrated success in fast-paced environments. Bonus • MLOps / model deployment experience • Evaluation, monitoring, and guardrails • Fine-tuning or model customization • RAG systems (Retrieval-Augmented Generation) • Building retrieval pipelines and grounding LLM outputs

Description A world-renowned leader in GPU acceleration, AI supercomputing, and end-to-end platforms powering generative AI, autonomous systems, digital twins, and large-scale data-center infrastructure used by virtually every major technology company is seeking an AI Developer to join a high-impact, rapidly growing Agentic AI initiative. This is a hybrid position based in Israel, requiring on-site presence in Yokneam three times a week, together with close collaboration with global teams, including occasional evening meetings as part of cross-site coordination. If you’re looking to deepen your hands-on experience with real-world AI systems, contribute to enterprise-grade Agentic AI solutions, and grow within a global, fast-evolving environment—this role offers a meaningful and exciting opportunity. What does a typical day look like? ב This is a hands-on role with significant learning and growth potential in advanced AI technologies. Key Responsibilities • Develop components within Agentic AI architectures, including multi-agent orchestration and RAG workflows • Implement backend logic and data processing using Python and SQL • Assist in writing technical specifications and user stories • Support system integrations through APIs and enterprise connectors • Conduct unit and integration testing to ensure solution accuracy • Assist with troubleshooting and production support when needed • Collaborate with global cross-functional teams and contribute to technical discussions • Maintain clear documentation and follow best development practices Requirements Requirements • 3–5 years of experience in software development (Python required) • Practical experience with LLMs, embeddings, vector databases or RAG workflows – an advantage • Experience working with SQL databases • Understanding of backend development concepts; familiarity with system integrations – advantage • Strong analytical, problem-solving and learning capabilities • Excellent communication skills and ability to work in a global environment • Fluent Hebrew (spoken and written) – must • High-level English • Ability to work on-site in Yokneam three times a week • Flexibility for occasional evening meetings

Description You'll design the architecture that lets AI run compliance at scale. Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk. AI isn’t a feature at Sedric — it’s the product. Every agent, LLM flow, and retrieval pipeline that runs a customer’s compliance program runs on backend systems someone has to design, build, and keep fast, accurate, and cost-efficient at scale. We’re looking for a hands-on AI engineer who designs those systems and writes the code. You’ll own the architecture of our AI backend end to end, ship it to production, monitor how it performs with real customers, and raise the bar for the engineers around you through code reviews, design reviews, and mentoring. The mission? We're at an inflection point. Enterprise financial services clients are signing on, and they need more than a product — they need a platform. That means a unified LLM strategy, an architecture that scales, and an R&D org that moves with the same urgency as the business. This role reports to the AI team Dev Team Lead and is based in Tel Aviv (hybrid model). This is a hands-on engineering role. It’s not a research position and not a people-management role. You’ll spend most of your time designing and building production systems. What You’ll Own You'll own Sedric's AI reference architecture end to end — the patterns, standards, and platform capabilities that every AI initiative across engineering builds on. You'll lead architecture reviews, set the technology roadmap, and make the call on what we adopt, pilot, or retire. • Design and build the backend architecture for Sedric’s AI agents, LLM pipelines, and retrieval systems, and write a large share of the production code yourself • Take AI capabilities from prototype to production in a multi-tenant SaaS environment • Optimize for scale and cost: model selection, prompt and token efficiency, caching, batching, latency, and infrastructure spend • Build monitoring and evaluation for AI quality in production (accuracy, false positives, drift, cost per customer) and act on what it shows • Set engineering standards for AI development and mentor engineers through pairing, code reviews, and design reviews • Bring new AI techniques into the product when they solve a real customer problem, and prove it in production Requirements You're a fit if… • You have 5+ years of ML/AI architecture experience in a SaaS company • 3+ Backend development experience • You bring both the technical depth and the leadership range this role demands. • You've built agentic systems with tool use, planning, and multi-step reasoning in production, not just in a notebook • You've set up AI governance and evaluation harnesses from scratch • You have proven, hands-on experience with AI in production systems • You can take a project from concept to shipped and interface with stakeholders the whole way • You hold a relevant degree; an advanced degree in CS, ML, Statistics, or a related field is a plus • You're comfortable in front of customers and executives, translating technical tradeoffs into business terms You're probably not a fit if… • You want to execute against someone else's architecture, not design your own • You'd rather avoid customer or stakeholder conversations than lead them • You think about the technology and skip the business context it lives in • You need long runway before shipping — this role moves fast and mixes design with execution • You want a playbook handed to you rather than writing the first one What Success Looks Like Your first 90 days goals: • Day 30 — You understand the AI architecture of the platform end to end — the systems, the constraints, the decisions already made. • Day 60 — You've shipped LLM-driven improvements and optimized existing flows for latency and reliability. • Day 90 — You own AI design across the platform — teams come to you before they build, not after. Compensation & Benefits • Competitive salary aligned with industry standards • Meaningful equity in a high-growth compliance AI company • Direct access to leadership — no bureaucracy between you and impact • Flexible, output-first culture — we care what you ship, not when you log on • Work on problems that matter in an industry that’s ready to change How to Apply & Important Notice Do you think that this is for you? apply directly or send your resume to [email protected]. Equal Opportunity Employment Sedric.Ai is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or protected veteran status. AI & Recording Disclosure: To streamline our hiring process and ensure a thorough review, Sedric.Ai utilizes AI-powered tools to evaluate resumes, and our interviews may be recorded or assisted by an AI note-taker. By submitting your application, you acknowledge and consent to the use of these technologies during the recruitment process. If you prefer to opt out of AI resume screening or interview recordings, please notify our recruiting team at [Insert Contact Email/Link] to request a manual review or unrecorded interview.

We are making the future of Mobility come to life starting today. At Autofleet we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization. We are looking for a talented AI Engineer to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes. What You’ll Do • Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions • Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails and audit trails. • Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback. • Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead. • Collaborate with engineering teams to design, build, and maintain production pipelines. Requirements • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline. • 5+ years of software engineering experience, with proven ability to build production-grade systems beyond research, experimentation, or prompt engineering. • Hands-on experience building and operating production-grade AI/LLM systems, ideally including agentic workflows, tool-calling, orchestration, evaluations, or multi-step reasoning systems. • Strong backend expertise, including Python, distributed systems, and cloud-native architecture. • Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, A2A and more. • Familiarity with REST APIs and integrating external data sources.

The Mission Cybersecurity moves at the speed of code, but security management still moves at the speed of humans. Critical insights are often trapped in siloed scan results, complex attack paths, or the tribal knowledge of senior researchers. These processes don’t scale, they can’t be automated, and they leave organizations vulnerable in the gaps between tools. CYE’s AI & Innovation team is changing that. You’ll build production-grade AI agents and modular AI capabilities that live atop the Cye Platform. You aren’t just building features; you are building an AI-native operating system for cyber risk. Every complex security workflow—from data acquisition to autonomous mitigation—will become legible to code, runnable by anyone, and composable into larger defense strategies. Who We Are 🛡️ The Product: CYE is the leader in data-driven cyber risk management. The Cye Platform uses advanced mathematical models and world-class security research to help organizations move from reactive patching to proactive risk orchestration. 🚀 The AI & Innovation Team: We are the architects of CYE’s intelligence layer. Our team is composed of security researchers and engineers who treat LLMs as a new reasoning primitive for cybersecurity. We are responsible for the core AI infrastructure and agentic workflows that allow the CYE Platform to think, prioritize, and act at scale. 📈 Momentum: Backed by global powerhouses like EQT, CYE secures many of the world’s most complex enterprises. As the threat landscape evolves through AI, our team ensures that the defense stays ahead. About the Role In this role, you will: • Build Modular AI Capabilities: Design and implement self-contained "AI Skills" that connect to the CYE Platform’s core data layers. • Ship End-to-End Autonomous Agents: Build agents that don't just "think," but act. You will deploy agents that handle the heavy lifting of the security lifecycle. • Bridge the Gap to Non-Technical Users: Create the abstractions that allow our customer success teams and client stakeholders to trigger or chain these AI workflows. • Own the AI Infrastructure & Evaluation: Maintain and contribute to the environment where these agents are born, ensuring they are grounded in truth. About You • You build for production, not for Twitter: You’ve built AI agents that operate autonomously in the real world. You understand how to handle edge cases and ensure reliable, structured outputs. • Strong Product Instincts: You have a natural intuition for user experience and a "force multiplier" mindset. You identify which manual security workflows are ripe for disruption and enjoy turning them into clean, automated code. • You code at the speed of thought: You are a power user of AI-assisted coding tools (like Claude Code, Cursor, or similar) and modern LLM APIs. • You think in systems: You enjoy the challenge of connecting disparate stages—acquisition, reasoning, and mobilization—into a single, cohesive intelligence layer. Requirements • Professional Experience: 3+ years of experience in dedicated AI development (LLMs, agentic workflows, RAG). • Senior Engineering Track: Alternatively, we value 7+ years of Senior Software Engineering experience combined with at least 1 year of deep AI development. • Education: A Bachelor’s or Master’s degree in Computer Science or Electrical Engineering is a major bonus. • Technical Mastery: Deep proficiency in Python and the modern AI stack, with the ability to architect systems that require high reliability. You’re Not a Fit If You… • Aren't a practitioner of AI-assisted coding. We live in Cursor and Claude Code; it is core to our DNA. • Prefer building in a vacuum. This role requires deep empathy for our security researchers and the collaborative process of translating expertise into code. • Are looking for a "Research" role. We value agents that work reliably in production over theoretical models in a notebook. Why You'll Love It ❤️ The People & Culture: At CYE, we believe our greatest asset is our DNA. We have built a culture where people are empowered to take ownership and where genuine relationships are the key to our success. 🛡️ High Stakes, High Impact: You are building the automated defense systems that protect some of the world's most critical organizations. 🚀 Autonomy and Agency: We hire experts and stay out of their way. You’ll have the agency to define how these agents are built and deployed. 🛠️ An AI-First Environment: From our development workflows to our core product architecture, you will be in an environment that truly embraces the "speed of AI." Ready to build the future of autonomous cybersecurity? We’d love to hear from you. Cye helps security and risk leaders gain a clear, defensible view of their cyber exposure, grounded in financial impact and real-world attack paths. By continuously quantifying exposure and validating it in context, organizations can establish a strong baseline, prioritize decisions with confidence, and track measurable reduction over time.

Description About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Job Summary AllCloud is seeking a Senior Generative AI Engineer to lead the design, development, and deployment of cutting-edge Gen AI solutions. This role is ideal for experienced AI professionals with a strong technical background, a track record of delivering scalable AI systems, and the ability to mentor and guide team members. The Senior Engineer will drive end-to-end AI projects, architect reliable AI platforms, and collaborate closely with product, engineering, and business teams to deliver high-impact solutions. Summary of Key Responsibilities • Lead the design and implementation of Gen AI platform components using Python and modern microservices. • Drive engineering and operational best practices across AI projects. • Collaborate with technical, product, and business teams to deliver customer value and define product vision. • Lead end-to-end development of AI systems, including research, experimentation, deployment, and scaling. • Mentor and support engineers, fostering collaboration, knowledge-sharing, and continuous learning. • Analyze complex problems, define requirements, and propose AI-driven solutions. • Apply DevOps principles to maintain secure, scalable, and high-performance AI systems. • Design and implement secure APIs for safe interaction with AI models. • Stay up-to-date with the latest Gen AI technologies and trends, and bring innovation to the team. Requirements • 5+ years of experience in AI, ML, or software engineering, with at least 2 years focused on Generative AI. • Strong understanding of LLMs, RAG techniques, fine-tuning, inference, and Gen AI workflows. • Expertise in Python and relevant Gen AI libraries and frameworks (PyTorch, TensorFlow, HuggingFace). • Experience designing, deploying, and scaling AI platforms and microservices. • Familiarity with vector databases (OpenSearch, Pinecone, FAISS) for data storage and retrieval. • Excellent problem-solving, analytical, and leadership skills. • Strong interpersonal, team, and communication skills. • Academic degree in Computer Science, AI, Data Science, or equivalent; advanced degree preferred. Certifications • AWS Machine Learning Specialty (Strongly Preferred) • AWS Solutions Architect – Associate (Strongly Preferred) • AWS Solutions Architect – Professional (Preferred) Why Work for Us? At AllCloud, you will lead the development of next-generation AI solutions and mentor a high-performing engineering team. We offer competitive salaries, flexible working hours, mentorship, benefits, and opportunities to influence product vision and Gen AI innovation. AllCloud is an Equal Opportunity Employer and considers applicants for employment regardless of race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law.

Description About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Job Summary We are seeking a highly skilled and motivated Senior Software Engineer GenAI to join our growing R&D team. In this role, you'll design, develop, and scale our next-generation backend platform, AI-driven workflows, and GenAI applications. You'll work with modern cloud technologies and LLMs to build resilient, high-performance systems while contributing to architecture, technical leadership, and mentoring. This role is ideal for an experienced backend engineer who enjoys solving complex technical challenges, building scalable systems, and working with cutting-edge AI technologies. Key Responsibilities • Design and develop scalable backend services using Python. • Build resilient distributed systems, microservices, and AI-driven workflows. • Integrate Large Language Models (LLMs) using AWS Bedrock and other AWS services. • Design and implement event-driven architectures and modern APIs. • Optimize databases, search capabilities, and caching strategies to support high-performance applications. • Contribute to cloud infrastructure, CI/CD pipelines, and observability practices. • Collaborate with Product, Data Science, and Engineering teams to deliver scalable solutions. • Provide technical leadership through architecture discussions, mentoring, and hands-on development. Requirements • 5+ years of backend software engineering experience. • Strong Python development skills, preferably with FastAPI and/or Django. • Experience designing scalable distributed systems and microservice architectures. • Experience building AI-powered applications or integrating LLMs (AWS Bedrock preferred). • Experience working with SQL and NoSQL databases, ORM frameworks, and query optimization. • Familiarity with event-driven architectures, messaging technologies (Kafka, Celery, or similar), and distributed caching (Redis). • Experience building REST, GraphQL, or gRPC APIs using Nest.JS or FastAPI or Django and LiteStar. • Experience with Docker, CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native development. • Knowledge of monitoring and observability tools such as OpenTelemetry, Prometheus, Grafana, Datadog, or similar. Nice-to-Have Skills • Experience with Retrieval-Augmented Generation (RAG) or vector search technologies. • Experience with OpenSearch or graph databases such as Neo4J / Neptune. • Frontend experience with React or Angular. • Experience working in enterprise or highly regulated environments. Why work for us? Our team inspires progress in each other and in our customers through our relentless pursuit of excellence. You'll work alongside experienced technical leaders who encourage innovation, continuous learning, and professional growth. We offer competitive salaries, bonus incentives, comprehensive benefits, flexible working hours, and the opportunity to build cutting-edge AI solutions on AWS. Apply now to become part of the team. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis protected under applicable law.

Description Alice is a leading platform for Trust & Safety teams worldwide, leveraging cutting‑edge AI and world‑class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever‑changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities • Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers. • Develop, deploy and integrate AI solutions and agentic frameworks, creating both command‑line tools and interactive notebooks that support our team’s research and workflow automation needs. • Build and manage data pipelines and databases (SQL) for large‑scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation. • Integrate research into production by implementing the latest generative AI advancements (including white‑box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows. • Integration & Orchestration: Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings • Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end‑to‑end processes for prompt generation, labeling, and response evaluation. Requirements Must-to-have • B.Sc. in Computer Science, Computer Engineering, or a related field (or equivalent hands‑on experience). • 5+ years of experience delivering large‑scale, high‑performance systems on AWS, with an emphasis on orchestrating data pipelines and AI workflows in production environments. • Expertise in scripting and automation using Python and shell; proven ability to write clean IaC and CI/CD pipelines. • Strong understanding of Linux systems, networking, and distributed system design. • Ability to break down monolithic systems into scalable, loosely coupled services and microservices. • Strong cross‑functional communication and collaboration skills, with a DevOps mindset to drive best practices across teams. • Hands‑on experience deploying and integrating generative AI models (e.g., large language models or other AI/ML models) in production. • Hands‑on experience deploying MCP clients/servers and integrating them into automated AI workflows. Nice-to-Have • M.Sc. in Computer Science, Computer Engineering, or a related field. • Experience with large‑scale cluster management or HPC scheduling tools (e.g., Slurm). • Knowledge of advanced observability and monitoring tools such as Prometheus and Grafana. • Experience with cloud cost optimization (FinOps concepts) and exposure to infrastructure security tools or configuration management for compliance. • Hands‑on experience working with A2A protocol. Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, Alice empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice's RL Environments team builds adversarial environments that the world's leading AI labs use to test and train their most capable agents. Each environment is a working replica of a real system with an attack planted inside it. A verifier decides whether the agent held up. The environments run on AgenticVerse, our platform for building and running RL environments at scale. A large and fast-growing community of researchers works on it every day. We're looking for a Senior AI Engineer to own those environments and the evaluation that decides which tasks are good enough to train a frontier model. What you'll do RL environments • Build RL environments end to end: the replica systems, the planted attack, and the verifier that grades the run • Own environment and verifier design for tool-use, web, and computer-use agents • Make environments airtight: sandboxed, free of eval-awareness cues, and closed to reward hacking • Read rollout traces, find where the agent took a shortcut, and close it Task evaluation • Own Alice's proprietary task evaluator, the engine that decides whether a task is ready for a frontier lab • Make it the industry's sharpest quality bar for RL tasks: realism, threat-model accuracy, and training value • Keep it learning: every customer review and every post-training run makes it stricter Run infrastructure • Scale the run pipeline: queue-driven runners on Kubernetes, per-run sandboxes, and a grader the agent can't reach • Package environments so they drop into customer training and evaluation pipelines Working with Research • Work with researchers as one team, from a task idea to an environment that's ready to train on • Turn what post-training runs reveal into fixes in the environments • Review designs and code, and raise the engineering bar for the people around you Requirements What we're looking for • 6+ years as a backend engineer, building production systems • BSc in Computer Science or a related field, preferably from a leading university • Strong Python, and production experience with Docker, Kubernetes, and cloud infrastructure (AWS preferred) • Experience designing distributed systems and message queues • A track record of owning systems from design to production • High autonomy in an undefined space. You take a loose problem and come back with working code • Fluent written and spoken English Advantage • Academic background in AI or machine learning: a degree, thesis, or research • Hands-on AI engineering: building with LLMs, agents, or evaluations • Exposure to post-training: RL fine-tuning, reward design, or rollout analysis • Background in security, red teaming, or trust and safety About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description About Immunai: Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system. We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process. Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: We are looking for an ML Infra Engineer to play a central role in evaluating, and deploying Immunai’s AI models. You will own and evolve Immunai’s benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization. This is NOT a core algorithmic research role - but rather, a role focused on building out the ML engineering infrastructure for the evaluation and deployment of models. Location: Ramat Gan, Israel (hybrid model) What will you do? • Own & Evolve Benchmarking – Design, build, and maintain Immunai’s benchmarking suite for foundation models and multimodal AI systems. • Define Core Abstractions – Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows. • Develop Metrics & Evaluations – Implement metrics that capture predictive performance, biological relevance, and multimodal alignment. • Support Model Development – Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration. • Bring in New Models & Baselines – Add external and internal models to benchmarks and ensure meaningful comparisons. • Explore Data When Needed – Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work. • Enable Rigor & Reproducibility – Ensure evaluations are consistent, well-versioned, and trustworthy over time. Requirements Required qualifications: • BSc, MSc, or PhD in Computer Science, Software Engineering, or a related field • Strong software engineering skills with experience designing maintainable, modular systems • 5+ years hands-on, industry experience working with ML models and evaluation pipelines - a must • Proficiency in Python and modern ML ecosystems • Ability to read, modify, and debug deep learning models • Experience with benchmarks, metrics, or evaluation frameworks — preferred • Familiarity with foundation models or multimodal learning — preferred • Comfort navigating complex datasets and doing targeted exploratory analysis • Experience in biomedical or other data-intensive domains — a plus Desired personal traits: • You want to make an impact on humankind • You prioritize “We” over “I” • You enjoy getting things done and striving for excellence • You collaborate effectively with people of diverse backgrounds and cultures • You have a growth mindset • You are candid, authentic, and transparent When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.

LEDGE'S MISSION is to reinvent how finance teams work by building AI agents that actually do the work, not just automate it. We began with an industry-leading reconciliation platform used by top finance teams. We are now broadening our scope to develop a completely AI-native close management solution, built upon our strong existing platform that is already competitive with leading industry offerings. Our agents autonomously prepare, reconcile, validate, and manage the close end-to-end with finance-grade accuracy and transparency. We’re designing new tools for the Office of the CFO: a scalable, trustworthy data pipeline combined with autonomous AI workflows and a clean, consumer-grade experience. As an AI-first engineering organization, we use modern microservices, full IaC, and advanced AI coding and development tooling to move fast and build real autonomy into the finance workflow. ‍ The role AI Engineers at Ledge take true end-to-end ownership from scoping agent behaviors and designing model-driven architectures to deploying and monitoring production AI systems. You’ll help evolve our reconciliation engine and build the next generation of AI agents powering the automated financial close, solving deep technical, data, and product challenges in partnership with accounting and finance experts. ‍ What we are looking for • Experience building or orchestrating AI agents • Background in model evaluation, prompt engineering, or autonomous workflow design • You thrive in a fast-paced startup environment and are willing to work hard to achieve ambitious goals • You have a get-things-done attitude and deliver high-quality work quickly • You have 5+ years of software engineering experience, including building or integrating AI systems • You are a proactive team player motivated to impact the team, the product, and the customers • You have strong fundamentals in distributed systems, data flows, and cloud/web architectures • You are an independent, fast learner excited about mastering new AI technologies and tooling ‍ Nice to have • Experience with payments, accounting, or finance • Experience working on AI-first teams or with LLM-based systems • Experience developing high-performance, real-time, customer-facing applications • Experience with typescript and nodeJs

We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact. We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in. We are a well-funded, early-stage startup, looking for a talented and motivated AI Engineer to join our team. The focus of this role is to develop advanced AI agents aimed at automating and optimizing low-skill human tasks, with a special emphasis on document processing, data extraction, text and email comprehension, and related workflows. You will be responsible for researching, designing, and deploying AI solutions that can replace repetitive manual tasks, improving efficiency and scalability for organizations. Your Impact AI Agent Development • Design, develop, and implement AI agents using best of breed LLMs to automate document processing tasks across enterprise workflows. Workflow Automation • Build machine learning pipelines to automate content-heavy processes for enterprise businesses. Model Optimization • Fine-tune and optimize pre-trained LLMs to accurately interpret, classify, and process large volumes of documents, improving speed and accuracy. Collaboration • Partner with product, engineering, and business teams to identify high-value automation opportunities and integrate AI-driven solutions into our operations. Evaluation & Testing • Develop metrics and conduct extensive testing to ensure reliability and efficiency of the AI systems in real-world scenarios. What It Takes Experience • 5+ years of experience as a software engineer or data scientist building production systems. • 2+ years of experience with large language models and NLP techniques. • Background in developing AI agents for content heavy tasks. • Experience with multiple LLM Vendors, RAG or Fine Tuning OSS or Commercial models. Technical Skills • Proficiency in Python and machine learning libraries such as TensorFlow or PyTorch. • Deep understanding of LLM architectures and NLP applications like entity recognition, document classification, and summarization. • Experience with model grounding techniques, retrieval-augmented generation (RAG), and deploying robust AI models in production environments. • Skills in designing and deploying AI models through APIs, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure). • Understanding of best practices for continuous monitoring, evaluation, and iterative improvement of deployed models.

Description We're transforming how software gets built, with GenAI at the center of the development lifecycle. As an AI Transformation Engineer, AI transformation is your day-to-day focus. You'll design and build the agentic workflows, tools, and AI infrastructure our engineering teams rely on. You'll also take on business projects that need hands-on AI development, so the work stays varied. We're looking for a highly technical engineer who takes ownership of open-ended challenges, leads independently, and delivers results that move the needle. What You'll Do • Drive AI transformation across the SDLC: design, build, and ship agentic workflows for planning, coding, testing, code review, and security remediation, from prototype through production • Lead business-driven AI projects when needed, from understanding the product need to delivering the solution • Find what's worth automating: work with engineering teams, architects, and product managers to find high-impact use cases • Engineer the harness: design and manage agent context, knowledge, tools, and scaffolding, and build evals that keep agents reliable at scale • Own outcomes, not just tasks: turn broad goals into clear metrics such as adoption, throughput, cycle time, and quality, and show what your work moved Requirements • 5+ years of hands-on software engineering experience (TypeScript/Node.js, Java or Python) • Hands-on experience building and shipping LLM-powered systems or agentic workflows in production • Strong harness engineering skills: hands-on with Claude Code, GitHub Copilot, or similar tools, with a deep understanding of how to build, scaffold, and manage agent context at scale • Working knowledge of LLMs, RAG, tool use, MCP, evaluations, and human-in-the-loop patterns • Solid experience with CI/CD, GitHub Actions, and cloud platforms, preferably Azure • Proven ability to lead independently, bring structure to open-ended problems, and deliver measurable results • Highly technical, yet not afraid to dig into the product and understand the business side • Lives and breathes AI: stays current on the latest models, tools, and practices, and brings new ideas to the team • Strong communication skills and a team-player mindset Advantages: • Experience developing AI-SDLC / AI-PDLC solutions • Experience building a company brain or organizational knowledge layer at scale • Experience building agent verification solutions at scale, such as automated E2E testing with Maestro or similar frameworks • Proven track record of leading cross-team projects and aligning stakeholders with different priorities • Experience with agent orchestration frameworks, agent factories, or multi-agent systems • Familiarity with observability tooling for monitoring agent and platform health Why You'll Love Working With Us • Real impact at scale: what you build changes how an entire organization develops software • GenAI at the core: we don't just use AI, we build it into our engineering DNA • Learning & growth culture: every engineer has a personal professional growth plan We are hiring for various positions within the company, with some roles offered through outsourcing. Join us and enjoy a dynamic and flexible work environment.

AI Platform & Innovation Engineer We are looking for a Senior AI Platform & Innovation Engineer to join the AI Engineering Group in Tel Aviv. This role is focused on designing and building the foundational AI platform that powers next-generation AI capabilities across Nexxen’s products and engineering teams. You will help shape our AI strategy by building reusable platform capabilities, evaluating emerging AI technologies, and developing production-grade AI systems that enable developers, products, and business teams across the company. What You’ll Do • Design and build reusable AI platform capabilities used across multiple products. • Architect and implement production-grade agentic systems, including multi-agent workflows, tool orchestration, memory and planning capabilities. • Design and build internal AI platforms such as organizational knowledge (“Brain”), AI developer tools, autonomous engineering workflows, and shared AI services. • Research, evaluate and integrate emerging AI models, frameworks and developer tools into the platform. • Collaborate closely with Data Science teams to transform research into scalable production-ready AI capabilities. • Design end-to-end AI architectures, from data ingestion and retrieval to orchestration, model integration and production deployment. • Build and operate production AI services using modern cloud-native technologies. • Improve the reliability, scalability and observability of AI systems. • Define engineering standards, reusable patterns and best practices for AI development across engineering teams. • Lead technical proof-of-concepts and drive adoption of innovative AI technologies. • Mentor engineers and provide technical leadership on complex AI initiatives. What You’ll Bring • B.Sc. in Computer Science or a related field. • 5+ years of backend software engineering experience. • 3+ years of hands-on experience building production AI systems. • Strong Python development experience – Must. • Hands-on experience with Kubernetes, Docker and deploying production workloads in cloud-native environments – Must. • Hands-on experience with CI/CD pipelines, GitOps workflows and modern software delivery practices – Must. • Deep understanding of Large Language Models (LLMs), prompting, reasoning techniques, structured outputs, tool calling and retrieval architectures – Must. • Strong experience designing and building end-to-end AI systems, from data ingestion and orchestration to production deployment. • Experience designing AI agents, agentic workflows or AI automation systems. • Experience working with Data Science or Machine Learning teams. • Strong software architecture and distributed systems design skills. • Experience with vector databases, graph databases or modern AI data platforms – an advantage. • Experience with AI frameworks such as LangGraph, OpenAI Agents SDK, CrewAI, Semantic Kernel, AutoGen or similar – an advantage. • Experience evaluating and integrating emerging AI technologies into production systems – an advantage. • Excellent spoken and written English skills. • A proactive, curious and collaborative mindset, with a passion for building AI platforms and driving technical innovation across engineering teams. What if I have any questions before I apply? All applications need to be submitted online, however, to discuss any adjustments you may require ahead of submitting your application, please email [email protected] #LI-DK1 #LI-HYBRID At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don’t match this job description perfectly, don’t worry! We would rather see your application than risk missing out on your potential to make an impact. For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at [email protected] to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity