AI Engineer jobs in Israel

Description AI Specialist Engineer Location: Ra’anana, Israel About Us: DriveNets is a leader in disaggregated high-scale networking solutions for service providers and AI infrastructures. Founded in December 2015, DriveNets created a radical new way to build networks by adapting the architectural model of the cloud to telco-grade networking. This solution accelerates network deployment, improves the network’s economic model, and radically simplifies network operations. With customers including Comcast, Orange, and KDDI - over 80% of AT&T’s network traffic now runs through a disaggregated core powered by DriveNets software. DriveNets Network Cloud-AI solution, based on the same technology, was introduced to the market in 2023, providing the highest-performance Ethernet-based AI networking solution, and is already deployed by Hyperscalers, NeoClouds and Enterprises. Raising over $587 million in three funding rounds, DriveNets continues to deploy the most innovative network infrastructure and is looking for the most talented people to be part of this journey. The Role: We're looking for an AI Specialist Engineer to join our AI Enablement team. This is a high-impact role where you will build products and internal tools used across the entire company, while working with the most advanced AI tools and best practices available today. Key Responsibilities • Develop internal AI-powered products and tools used by teams across DriveNets to work faster and smarter. • Lead the evaluation, integration, and rollout of AI-powered development tools across engineering teams. • Build proof-of-concept projects and internal tooling that demonstrate the practical value of AI in real workflows. • Develop best practices, prompt engineering guidelines, and training materials for AI-assisted development. • Stay current with the rapidly evolving AI tooling landscape and advise leadership on strategic adoption. • Work hands-on with the most advanced AI development tools and shape how the company uses them. Requirements • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, graduated with Honors • AI Development Tools: Hands-on experience using AI-powered coding assistants and agentic development tools — not just familiarity, but meaningful integration into your workflow. • Communication: Ability to explain technical concepts clearly and influence adoption across teams with varying levels of AI experience. • As part of the initial stages of the recruitment process, you will be required to submit an AI project presentation based on a project built using Claude Code.

Description #Hybrid DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics Job Summary We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our DriveNets Automation Platform (DAP) team. The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments. You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure — running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns. This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems — not model training or research prototypes. Requirements • 8+ years of hands-on software engineering experience building production-grade backend services, APIs, or AI-powered systems. • Proven production experience with multi-agent AI systems: deployment, tracing, guardrails, hardening, and incident management. • Hands-on experience with agentic frameworks such as LangGraph, CrewAI, Google ADK, AutoGen, or equivalent. • Experience building and running evaluation pipelines for agentic solutions - including trajectory tracing, ground truth validation, and harshness/quality scoring. • Strong Python proficiency: comfortable building scalable backend services using gRPC and REST APIs. • Solid understanding of distributed systems: fault tolerance, consistency models, service communication, and operational challenges at scale. • Hands-on Kubernetes experience: deploying and operating containerized services, managing workloads, config, and scaling in production clusters. • Practical experience with embeddings, vector databases, and semantic retrieval systems in production. • Practical experience with RAG pipelines, LLM API integration, structured outputs, and tool calling in production environments including building and serving MCP servers at scale. • Working knowledge of SQL and/or NoSQL databases, schema design, and query optimization. • Strong debugging skills across application logic, APIs, data, and AI agent behavior. • Strong communication skills and a bias toward ownership and delivery. Nice to Have • Familiarity with Langfuse/Arize Pheonix. • Familarity with A2A & A2UI protocols. • Experience with network automation, orchestration, or configuration management (Ansible, Terraform, NETCONF, gNMI, or similar). DriveNets is on a mission to build a special company comprised of individuals with diverse backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.

NVIDIA is at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment — you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you. What you'll be doing: • Build agentic workflows — loops, graphs, and multi-step pipelines — that carry real hardware network simulation and analysis work end to end. • Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain. • Work closely with network architects to understand their workflows and translate them into agent workflows they use daily. • Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency. • Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable. • Build observability across agent runs: what the agent did, where it failed, and why. • Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries. • Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling. What we need to see: • B.Sc. or above in Computer Science, Computer Engineering, or a related field, or equivalent experience. • 5+ years of hands-on experience in software engineering, with demonstrated ownership of production systems from design through deployment. • Expert-level programming skills in C++, with strong Python skills alongside it. • Strong understanding of the full stack, including hardware: memory, I/O, networking, accelerators, and where real performance bottlenecks occur. • Current, practical knowledge of how to build systems around AI models: agent loops, tool interfaces, context retrieval and management, and common failure modes. • Understanding of inference serving, including request lifecycle, batching, caching, and the tradeoffs between throughput, latency, and cost. Ways to stand out from the crowd: • Experience writing hardware simulation software — network, system, or architectural simulators, models, or testbenches. • Networking experience — protocols, fabrics, switching, or RDMA — and experience working alongside silicon, systems, or architecture teams. • Hands-on experience with inference serving engines such as vLLM, TensorRT-LLM, or Triton Inference Server, including low-level internals such as KV cache, batching and scheduling, and quantization, and related performance work such as profiling and GPU programming. • Hands-on experience building or fine-tuning LLMs or other generative models. • Agent workflows, tooling, or context pipelines adopted by other engineering teams. NVIDIA is home to some of the most innovative and dedicated professionals in the industry. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Cato is building a real-time AI runtime platform for security algorithms running inline across our global cloud and physical PoPs. We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic. This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path. The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams. Responsibilities • Build and lead Cato’s AI Platform team: hiring, mentoring, architecture, technical direction, and execution. • Own the AI security runtime platform for high-throughput, low-latency inline security decisions across Cato’s global cloud and PoPs. • Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine. • Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health. • Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout. • Work closely with research and algorithm teams to productionize AI security models and algorithms at scale. • Define the long-term platform strategy for AI runtime and model serving at Cato. Requirements • 3+ years of leadership experience as a team lead, tech lead, or engineering manager. • 3+ years of hands-on experience in AI inference, production ML infrastructure, model serving, or AI runtime platforms. • Strong experience with production inference technologies such as Triton, vLLM, CUDA, Kubernetes, Docker, PyTorch, ONNX, TensorRT, or similar. • 3+ years of experience with Go, or strong experience with a similar high-performance backend language such as C++, Rust, or Java. • Experience with performance optimization, scalability, observability, and SLO-driven production ownership. • Strong system design skills, especially around distributed systems, performance, reliability, and production infrastructure. Advantages Experience with GPU optimization, GPU scheduling, GPU resource efficiency, quantization, runtime acceleration, or large-scale model serving.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We're looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions for our Product Support organization. This is not a research role. You'll design and ship real AI systems that improve support workflows and processes - building custom solutions where off-the-shelf tools fall short. The role also requires close collaboration across teams: aligning with different stakeholders' needs and priorities, and building strong, ongoing partnerships across the organization. Responsibilities: • Partner directly with business teams to identify automation and optimization opportunities • Design and implement agent-based AI workflows to automate internal processes end-to-end • Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain • Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows • Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations • Take solutions from idea → prototype → production • Governance, Reliability & Security • Ensure AI workflows comply with security, privacy, and compliance requirements • Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed • Monitor AI performance, errors, hallucinations, and drift • Collaboration & Enablement: • Partner with business owners to identify automation opportunities • Translate business requirements into AI-driven solutions • Document AI flows, decision logic, and operational runbooks • Educate internal teams on AI capabilities and limitations Requirements: • 3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code • 2+ years of GenAI development experience, with strong AI/ML focus - MUST • Strong Python skills and production mindset - MUST • Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems • Experience with LangGraph, crewAI, Strands or similar orchestration frameworks • Experience in enterprise grade agentic solutions and bringing Agents into production • Experience in AWS Agent Core - Advantage • Solid understanding of ML workflows and MLOps principles • Strong analytical skills and ability to work directly with non-technical stakeholders • Builder mindset: proactive, independent, and impact-driven • Experience with Agentic AI driven applications like n8n, UiPath, Make –Advantage • Experience or familiarity with the Support domain – Advantage

Meet render.ai, monday.com's new AI venture. At render.ai, we're redefining how humans use AI for work. render.ai enables anyone to bring ideas to life in minutes, using their words. We're a small, autonomous team - closer in spirit to an early-stage startup than to an established company. There's no fixed playbook: we're still figuring out what the product looks like, and every engineer helps shape that, not just build it. What are we looking for? You love prompt engineering for LLM and image generation, chasing high-fidelity outputs at scale, and you know how to push foundation models further than most think possible. You own the model quality lifecycle end-to-end, from early experiments to production monitoring, turning the latest LLM breakthroughs into systems that hold up at scale. You build evaluation frameworks you can trust, offline tests, and A/B experiments that turn feedback into real, measurable improvements. You keep a close eye on live AI systems, watching latency, hallucinations, and drift, and get ahead of failure modes before they become real problems. You're genuinely strong in TypeScript and Python, comfortable moving between fast AI experimentation and solid production engineering. You like getting hands-on with data, sourcing and cleaning it to make prompts, models, and evals better. You're energized by ambiguity and fast-moving environments, always curious about the newest models and techniques on the frontier. You're excited about where this goes next, helping render.ai expand into new modalities like voice and video. Advantages: Experience with modern LLMs and image models such as Flux and Imagen. Experience building AI-native or agent-based products from scratch. Familiarity with LLM observability tools, tracing, and debugging workflows. Background in rapid prototyping, experimentation, or startup-like environments.

About monday.com monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition. About the Team RevAI is the team building the AI agents inside monday.com's revenue organization, as part of BigBrain, monday.com's internal data and AI group. Our mission is to reinvent how monday.com's Sales and Customer Success organizations work, making them truly agentic end to end, from the first touch with a lead all the way to closing the deal and supporting customers. Our agents book meetings, run outbound, handle inbound leads, and help sales reps manage their accounts with AI-generated account plans, next-best actions and ready-to-send drafts that write straight back to the CRM. We work closely with the business: sales, RevOps and GTM leadership. That means we understand the business process first, then turn it into agents running in production. Our agents run on an agentic platform we built in-house. It is event-driven and operates across hundreds of thousands of accounts, so LLM cost, latency, reliability and business impact are everyday problems for us. We're a small team with high ownership and low ego, and we prefer to just try things rather than wait for permission. About the Role Lead a team of AI software engineers: mentor and grow them, set priorities, and own delivery from planning to production Design, code and ship AI agents and agentic systems alongside the team Work closely with the business, partnering directly with sales, RevOps and GTM stakeholders to understand revenue processes, find high-impact opportunities, and turn business needs into agents with measurable outcomes Own the technical direction of our in-house agent platform and the agents running on it: architecture and design docs, event processing and orchestration, policies and guardrails, human-in-the-loop flows, and tool integrations Integrate LLMs in production through an AI gateway, and tune model routing, prompt caching, token budgets and rate limits for scale, cost and quality Build and harden integrations with CRM and GTM systems (e.g. Salesforce, email, voice and messaging providers, scheduling tools) Set the bar for engineering quality and reliability, including code reviews, monitoring and alerting, incident response, and resilient long-running workflows Manage expectations and communicate progress, trade-offs and impact to stakeholders and leadership Requirements 5+ years of software engineering experience in the industry, shipping production systems Experience leading or mentoring engineers, either as a team lead or as a strong tech lead who is ready to step into management Strong server-side expertise in TypeScript/Node.js (or similar), with experience building microservices, APIs and distributed or event-driven systems at scale Proven experience shipping LLM-powered features or AI agents to production (prompting, tool calling, evaluation, cost/latency trade-offs) Previous experience building agents and workflows with frameworks and tools such as LangChain/LangGraph, n8n or similar Strong business acumen and comfort with revenue/GTM processes (lead management, sales pipeline, account management), with the ability to translate business problems into technical solutions Proven stakeholder management, working directly with non-technical partners and aligning priorities across teams Strong ownership and observability mindset, and comfort debugging production issues end to end Excellent communication skills, team mindset, and a bias for action Nice to Have Experience with Salesforce or other CRM/GTM platform integrations Background in sales engineering, solutions engineering, or other customer-facing technical roles Familiarity with agent frameworks and patterns (multi-agent orchestration, memory, evaluation, guardrails) Experience with React and micro-frontend architectures Experience with Kubernetes, AWS and CI/CD Experience with data pipelines and workflow tools (e.g. Airflow, Python, Snowflake) Background in voice or conversational AI If this sounds like your kind of challenge, we're looking for an AI Software Engineer Team Lead to build and lead the team shaping how AI agents drive revenue at monday.com. We believe in equal opportunity. At monday.com, we believe everyone should feel they belong - exactly as they are. We're an equal opportunity employer, committed to an open, accessible, and inclusive workplace free from discrimination or harassment of any kind. All qualified candidates will be considered for employment, regardless of race, color, religion, nationality, sexual orientation, gender identity, age, marital status, pregnancy, family or parental status, disability, veteran status, or any other characteristic protected by law. If you need support or accommodation during the hiring process, we're here to help. Meet the R&D team The R&D Team is passionate about building innovative and lovable products, while tackling complex engineering problems at a great scale. We're accountable for bringing the company's vision to life by navigating our progress into flawless execution and encouraging full ownership and independence in all projects.

At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts are true pioneers, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software”. Wouldn't it be amazing if you could join us on our journey? We are looking for an AI Fullstack Engineer to join our Competitive Intelligence team. This role combines deep technical expertise with a builder's mindset to design, implement, and maintain advanced AI-powered systems for automating knowledge collection, generating competitive insights, and ensuring broad internal knowledge sharing across the organization. You will spearhead AI solution projects from initial concept through execution and widespread adoption. As an AI Fullstack Engineer - Competitive Intelligence at JFrog, you will… • Define architectural approaches and detailed technical engineering specifications. • Main role: Build, implement, and maintain the AI-powered intelligence stack, using LLMs, agentic capabilities, MCPs, Skills, and advanced RAG, to automate data collection, analysis and sharing • Make knowledge impossible to miss inside JFrog. Build the competitive intel team’s interfaces that get the right competitive insight to the right stakeholder at the right time • Drive projects from concept to execution to delivery • Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness • Ensure the scalability and reliability of LLM-based system architectures • Engage with requirement gathering and product discussions with internal customers at JFrog • Be the focal point for collaborating with IS, IT and data science teams • Have solid understanding of various aspects of the software development supply chain, including DevOps, DevSecOps and MLOps, and conduct in-depth technical research around them To be an AI Fullstack Engineer - Competitive Intelligence at JFrog you need… • A proactive builder's mindset: a desire to automate workflows, take end-to-end ownership, and drive continuous improvement • Bachelor's degree or higher in Computer Science, Data Science, Software Engineering, or similar • 4+ years of relevant hands-on experience in developing and scaling production-grade GenAI architectures using modern LLM stacks • Proficiency with relevant tools, processes, and frameworks, such as: LangChain, CrewAI, OpenClaw, NLP, Vector databases, RAG, building MCPs and Skills • Coding fluency in Python and at least one other language (TypeScript/JavaScript, Go or Rust) • Deep understanding of cloud and cloud-native principles, including hands-on experience with major Cloud environments (AWS, GCP, Azure) and containers/Kubernetes • Proven ability to conduct deep technical investigations – analyze complex systems, cloud environments, source code, and documentation, and synthesize the collected data into clear insights • Passion and curiosity to stay current of industry trends and technological advancements • Great communication skills and proven ability to serve as a liaison, coordinating and driving action across diverse org-groups (IS, IT, data science) to ensure effective enterprise-wide systems integration • Excellent English communication (written and verbal) • Comfortable in a dynamic, fast-paced company Significant Advantages: • Full-stack web development experience • 3+ years of relevant hands-on experience in setting up, configuring, and using a broad range of industry DevSecOps technologies (ex. Kubernetes, JFrog Artifactory, GitLab, SonarQube, coding agents, security vulnerability scanners, GitHub Actions)

Who Connecteam is: Connecteam is a TLV-based startup that’s on a mission to change the work experience for 80% of the world’s global workforce - the deskless employees. Our business management platform helps thousands of businesses thrive by taking away the daily hustle and complexities of managing teams, so they can have the peace of mind to grow and run their business. About the Role: We’re looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users. This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features—from data pipelines and LLM orchestration to intuitive UI experiences—with a strong product mindset. Responsibilities: 🧠 AI Agent Design & Integration • Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models). • Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems. • Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents). 🏗 Fullstack Product Development • Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces. • Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance. • Collaborate closely with design, product, and data teams to bring ideas from concept to production. ⚙️ Systems & Infrastructure • Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability. • Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference. • Ensure systems are secure, reliable, and compliant with InfoSec standards. 🧪 Experimentation & Continuous Improvement • Rapidly prototype and iterate on new AI capabilities and user experiences. • Analyze performance and usage metrics to drive product and model improvements. • Stay up to date with the evolving AI toolchain and emerging agent architectures. Requirements: • 8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend). • Solid understanding of LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines- Advantage • Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD). • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG)- Advantage • Product-oriented mindset: you care deeply about building things that work well for users. • Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques. Why Join Us: • Shape the foundation of our AI-first product vision. • Work closely with a world-class team of engineers, product leaders, and data scientists. • Opportunity to own impactful systems and ship fast in a nimble environment. • Competitive compensation, equity, and benefits in a fast-growing company. • #LI-Hybrid Joining Connecteam Is The Smart Move: • We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties. • We make an impact on our customer’s business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business. • We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers. • We have fun! From weekly happy hours to holiday parties, we always enjoy each other’s company (and good food, of course). Connecteam is like one big, happy family! • Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives. Together we will shape the future of work! Our privacy policy

Who Connecteam is: Connecteam is a TLV-based startup that’s on a mission to change the work experience for 80% of the world’s global workforce - the deskless employees. Our business management platform helps thousands of businesses thrive by taking away the daily hustle and complexities of managing teams, so they can have the peace of mind to grow and run their business. About the Role: We’re looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users. This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features—from data pipelines and LLM orchestration to intuitive UI experiences—with a strong product mindset. Responsibilities: 🧠 AI Agent Design & Integration • Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models). • Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems. • Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents). 🏗 Fullstack Product Development • Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces. • Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance. • Collaborate closely with design, product, and data teams to bring ideas from concept to production. ⚙️ Systems & Infrastructure • Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability. • Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference. • Ensure systems are secure, reliable, and compliant with InfoSec standards. 🧪 Experimentation & Continuous Improvement • Rapidly prototype and iterate on new AI capabilities and user experiences. • Analyze performance and usage metrics to drive product and model improvements. • Stay up to date with the evolving AI toolchain and emerging agent architectures. Requirements: • 8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend). • Solid understanding of LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines- Advantage • Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD). • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG)- Advantage • Product-oriented mindset: you care deeply about building things that work well for users. • Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques. Why Join Us: • Shape the foundation of our AI-first product vision. • Work closely with a world-class team of engineers, product leaders, and data scientists. • Opportunity to own impactful systems and ship fast in a nimble environment. • Competitive compensation, equity, and benefits in a fast-growing company. • #LI-Hybrid Joining Connecteam Is The Smart Move: • We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties. • We make an impact on our customer’s business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business. • We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers. • We have fun! From weekly happy hours to holiday parties, we always enjoy each other’s company (and good food, of course). Connecteam is like one big, happy family! • Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives. Together we will shape the future of work! Our privacy policy

Description A winning ad could change the trajectory of a mobile game. The only way to consistently find winners is to explore more, faster, and smarter than anyone else. Sett is a UA creative performance platform for mobile gaming. We build agentic AI systems that analyze performance data, generate diverse playable and video ad concepts, deploy them to ad networks, and continuously learn from the results. The full creative loop. Automated, and done better than humans only. Our system doesn't remix templates. It creates fundamentally different creative hypotheses, each one built from real performance signals. You'll build products where AI isn't a feature - it's the product. From customer-facing experiences to the multi-agent systems behind them, you'll own problems end-to-end, ship continuously, and help define how people work with AI. Responsibilities • Build customer-facing AI products from idea to production. • Design and build AI agents that solve real customer problems. • Create and improve agentic workflows using LangGraph, LangChain, and the Claude Agent SDK. • Build the orchestration layer that lets multiple AI agents collaborate, reason and complete complex tasks. • Own features end-to-end, from React UI to Python backend. • Design APIs and distributed services powering our agentic platform. • Improve reliability, observability and performance across production AI systems. • Work closely with Product, Design and AI Engineers to ship continuously. Requirements • You have 6+ years of experience building web products with Python, React, and TypeScript. • You know how to design clean APIs and scalable architectures. • You have experience with AWS, Docker, Kubernetes, and microservices. • You care about reliability, observability, and production quality (logs, metrics, tracing, and monitoring). • You have built or worked on production AI applications using tools like LangGraph, LangChain, the Claude Agent SDK, or similar frameworks. • You like shipping fast, owning problems end-to-end, and working across the entire stack. • You enjoy solving ambiguous problems and turning ideas into production software

Description A winning ad could change the trajectory of a mobile game. The only way to consistently find winners is to explore more, faster, and smarter than anyone else. Sett is a UA creative performance platform for mobile gaming. We build agentic AI systems that analyze performance data, generate diverse playable and video ad concepts, deploy them to ad networks, and continuously learn from the results. The full creative loop. Automated, and done better than humans only. Our system doesn't remix templates. It creates fundamentally different creative hypotheses, each one built from real performance signals. Sett is looking for a Senior AI Software Engineer to join our out-of-this-world, cross-functional team. If you’re someone who loves taking ownership, enjoys working across the stack, and isn’t afraid to dive into new technologies - this might be your perfect role. Responsibilities • Own end-to-end feature development - from design and coding to testing and production • Work on LLM based applications including the development of proprietary AI agents • Collaborate with team members through design/code reviews and open discussions • Partner closely with research and engineering to deliver impactful solutions Requirements • At least 8 years of experience in software development - a MUST • Strong hands-on experience with Python (at least 4 years) • Minimum 2 years of experience as an ML Engineer, Data Scientist, or in a similar AI-focused role - a MUST • Proven ability to develop and maintain complex backend systems • Curiosity, drive, and a passion for building great tech

About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role We’re looking for a Principal AI Software Engineer to lead the design and development of the evolution and scaling of Aidoc’s AI architecture. You’ll combine hands-on development with architectural leadership - solving complex engineering challenges, guiding your team through design decisions, and ensuring our systems are robust, scalable, and maintainable. You’ll collaborate with other senior engineers, tech leads, and product partners to define technical direction, drive innovation, and improve engineering practices across the teams and groups. This is a role for someone who thrives on building well-designed systems, driving technical excellence within the team and mentoring peers. Responsibilities • Lead the design and implementation of scalable and reliable backend services. • Drive architectural discussions and make key technical decisions within your domain. • Collaborate with algo teams and cross-functional teams to translate business and product goals into technical solutions. • Deliver high-quality, maintainable, and testable code while ensuring best practices for security, performance, and reliability. • Mentor and support engineers through design reviews, code reviews, and knowledge sharing. • Continuously improve development processes, observability, and deployment pipelines. • Contribute to the evolution of the platform’s architecture as the company and product scale. Requirements • BA/BSc/MSc in Computer Science, Engineering or a related field. • 10+ years of hands-on experience designing and developing complex, production-grade systems. • Proven track record in architecting and leading large-scale software projects. • Deep understanding of system design, distributed systems, and software architecture patterns. • Strong coding skills in one or more modern backend languages (e.g., Python, Go, Node.js, Java, C#). • Experience with cloud environments (AWS or equivalent), containerized deployments, and infrastructure as code (e.g., Docker, Kubernetes, Terraform). • Experience designing and scaling event-driven architectures and data-intensive systems. • Excellent communication and influencing skills - able to align multiple teams toward a shared technical vision. • A proactive mindset, strong sense of ownership, and passion for solving complex engineering problems. • Advantage: Experience in developing AI and machine learning solutions, with a focus on computer vision and NLP. Working at Aidoc Our Perks: • Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) • We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. • Amazing and healthy breakfasts and lunches prepared daily by our personal chef! • Stocked up kitchen & meal card • Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. • Amazing culture - collaborative, transparent & fun! • Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a leadership role within Aidoc’s core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components. The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the team’s technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions. You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact. Responsibilities • Lead the team’s work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution. • Guide and support team members’ growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability. • Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest. • Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities. • Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation. Requirements • BSc or MSc in Computer Science, Engineering, or a related field. • At least 7 years of hands-on experience building complex software systems. • At least 3 years of experience as a team leader, actively contributing to design and code development. • Experience designing and building core software systems that are an integral part of algorithmic and AI-driven solutions. • Deep understanding of computer science fundamentals, including object-oriented design, performance optimization, and system complexity. • Strong ability to lead end-to-end development processes while remaining technically involved. • Strong communication and collaboration skills, with the ability to work effectively across teams. • A strong sense of ownership and accountability, leading by example and driving execution. • A collaborative leader who listens, values others’ input, and motivates team members. • Strong commitment to clean code, sound architecture, and high engineering standards. Working at Aidoc Our Perks: • Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) • We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. • Amazing and healthy breakfasts and lunches prepared daily by our personal chef! • Stocked up kitchen & meal card • Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. • Amazing culture - collaborative, transparent & fun! • Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a AI Software Tech Lead, ML role within Aidoc’s AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products. Responsibilities • Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging. • Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features. • Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems • Develop and maintain high-quality, scalable, and efficient code. • Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems) Requirements • BA/BSc/MSc in Computer Science, Engineering or a related field. • 7+ years of experience in developing large scale production systems – including architecture design, research, development and testing. • Deep understanding of Computer Science fundamentals – object-oriented design, code optimization, and complexity • Passion for building generic and robust software architecture • Passion for elegant and effective technological solutions, and a love for clean code • Strong experience with Python and advantage to deep learning frameworks such as TensorFlow, PyTorch, etc. • Strong ability to lead end-to-end development processes • Advantage: Experience in developing AI and machine learning solutions, with a focus on computer vision and NLP. • Strong communication and collaboration skills, with the ability to work effectively with a cross-functional team Working at Aidoc Our Perks: • Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) • We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. • Amazing and healthy breakfasts and lunches prepared daily by our personal chef! • Stocked up kitchen & meal card • Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. • Amazing culture - collaborative, transparent & fun! • Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Description Popai is on a mission to transform the millions of conversations that happen between care teams and patients every day. We’re building the AI platform that turns every patient interaction into action - helping care teams understand what patients need, close gaps in care, and reach the people who need them most. Our goal is simple but ambitious: make he As an AI Engineer at Popai, you will design, build, and deploy intelligent systems that power our core product. You will work across the entire lifecycle—from building robust data pipelines for medical records and audio data to operationalizing cutting-edge LLMs and agentic workflows in production. What You'll Do • Build AI & Data Pipelines: Design, build, and maintain data and AI pipelines that ingest, process, and analyze large-scale healthcare data (including medical records, audio signals, and system traffic). • Develop Intelligent Systems: Build systems that extract structured entities, definitions, and actionable insights from complex unstructured data. • Deploy AI Agents: Operationalize and integrate AI agents using LLMs, open-weight models, and specialized tools into production systems to automate reasoning and care workflows. • Optimize Performance: Optimize model performance, inference pipelines, and latency to ensure high scalability and efficiency. • Ensure Data Quality & Observability: Design reliable data workflows with built-in quality checks, consistency, and monitoring across all pipeline stages. • R&D & Innovation: Experiment with emerging AI frameworks, model architectures, and agentic workflows to continuously elevate the platform's intelligence. Requirements What We're Looking For • Experience: 6+ years of hands-on experience as a Software Engineer, AI Engineer, or Data Engineer. • Scalability & Systems: Proven track record of working on high-scale, distributed systems with a focus on performance optimization and resilience. • Data Infrastructure: Solid understanding of data processing and storage technologies (e.g., PostgreSQL, BigQuery, Snowflake, Spark, Kafka). • AI & LLM Deployment: Practical experience integrating, serving, or fine-tuning LLMs and smaller specialized models (API-based or open-weight). • Cloud & DevOps: Proficiency with cloud platforms (AWS, GCP, or Azure) and containerized setups (Docker, Kubernetes). Nice to Have • Experience with LLM serving optimizations, quantization, prompt engineering, or agent orchestration frameworks (e.g., LangChain, LangGraph). • Familiarity with audio/speech processing or medical record data systems. • Experience designing event-driven, streaming architectures. • Background in real-time inference or low-latency AI applications.

Description 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. Requirements 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 Bluespine is an innovative startup in the health-IT domain. Using cutting-edge technologies, we build AI-driven systems that find what's going wrong in healthcare spending: billing errors, wasteful care, and potentially fraudulent claims, which together cost the industry billions of dollars every year. We also identify concrete cost-saving opportunities for employers. Each assessment is tailored to the individual claim, taking into account the relevant provider, payer, and plan, so the results are precise and trustworthy. We're looking for a technical builder-leader who pairs strong engineering skills with a passion for AI and a drive to improve real-world processes with it. Responsibilities • Design and build AI agents and automation workflows that analyze claims at scale and find errors, waste, fraud, and savings. • Own the agent harness and the loops around it: how agents plan, call tools, verify their own work, and improve over time. • Build the systems that make experimentation with LLMs, agents, and workflows fast, measurable, and safe to ship. • Develop and validate algorithms that hold up in production, where accuracy matters and every finding has to be explainable. • Investigate, implement, and share new AI technologies and ideas, and set the technical direction for how we use them. Requirements • 5+ years of data science/analysis experience. • 2+ years of software engineering experience (Python, Node.js, Go, or similar). • Hands-on experience building or integrating AI tools, APIs, or agents. • Familiarity with LLM-based patterns such as agentic workflows, harness and loop engineering, and production-level prompt engineering. • Experience with cloud platforms such as AWS, Google Cloud, or Azure. • Strong communication, interpersonal, and problem-solving skills. Advantages • Background in healthcare data or fraud investigations. • Prior experience in health insurance tech or medical coding/billing. • Degree in computer science or equivalent.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Join our Security Autonomous SOC Team as a Principal AI Engineer to transform innovative AI/LLM research into impactful cybersecurity product features. You will leverage and augment our existing infrastructure, including BI systems and CI/CD pipelines, to design, develop, and deploy advanced LLM and Agentic capabilities. Your expertise in software development, AI engineering, and modern LLM technologies will directly drive the evolution of our security operations. By building robust, production-ready AI solutions, you will make a tangible difference in protecting our digital world against complex threats. Key Responsibilities • Design and build Agentic security solutions to improve detection, response, and remediation capabilities. • Architect, implement, and optimize end-to-end LLM pipelines ensuring scalability from data ingestion to deployment. • Develop and deploy AI agents leveraging LLMs to automate complex security decision-making tasks. • Integrate LLM APIs and fine-tune models for specific cybersecurity use cases. • Transform promising AI and LLM research concepts into mature, robust, and scalable production-ready features. • Augment established BI data systems and CI/CD pipelines to support advanced AI development and experimentation. • Develop specialized tools and frameworks extending infrastructure to support AI-driven security research and remediation. • Collaborate with cross-functional teams to integrate AI innovations into customer-facing XDR, EDR, and SOAR platforms. Qualifications Required Qualifications • Minimum of 5 years of proven experience in software engineering and delivering production-ready solutions. • Demonstrated expertise designing, building, and optimizing end-to-end LLM pipelines and AI agents. • Exceptional programming skills in Python with a strong background in robust software development. • Extensive experience with data engineering, CI/CD environments, and cloud platforms like AWS, GCP, or Azure. • Proficiency in containerization technologies, including Docker and Kubernetes, for scaling AI and LLM solutions. • In-depth practical knowledge of AI concepts, LLM APIs, and model fine-tuning techniques. Preferred Qualifications • Familiarity with cybersecurity concepts, security operations, incident response, and advanced threat research. • Hands-on experience working with XDR, EDR, NDR, or SOAR products and understanding attack methods. • Proven ability to innovate independently while collaborating effectively within dynamic, cross-functional engineering teams. • Strong critical thinking mindset with a passion for applying cutting-edge AI to solve complex security challenges. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career: The Cortex Content team powers Palo Alto Networks’ security operations platforms (XSIAM/XSOAR) by building the essential integrations, data connectors, and intelligence layers that protect our customers. We are looking for a Senior Software Engineer who is passionate about AI and automation to help scale our content ecosystem. In this role, your focus will be leveraging AI to accelerate the delivery, quality, and quantity of our security integrations and content infrastructure. You will design and develop intelligent tools and workflows that enable engineering peers and Technical Program Managers (TPMs) to scale their output, collaborating with them as they test, adopt, and integrate these solutions into our development lifecycle. Your Impact: • Scale Content Delivery: Design and implement AI-driven systems that empower the team to significantly increase both the quantity and the rigorous quality of our security integrations. • Develop Cross-Functional Tooling: Build internal developer tools and agentic workflows that enable other engineers and TPMs to streamline content creation, validation, and management. • Optimize Workflows: Create reliable CI/CD pipelines incorporating AI agents to automate code generation and testing processes. • Support Team Adoption: Collaborate with engineering peers and cross-functional partners as they test and integrate your tools into their daily workflows, using their feedback to drive continuous improvements. • Contribute to AI Integration: Help lead the practical integration of LLMs and automation frameworks into our day-to-day engineering processes. Qualifications Your Experience: • Experience: 3+ years of professional software engineering experience delivering clean, maintainable code in a production environment. • Proven AI/Automation Impact: Demonstrated experience in at least one of the following areas: Supported or led an AI transformation/adoption effort within an engineering team. Developed and deployed a major AI-powered feature or internal productivity tool. Built CI/CD workflows or developer tooling that utilizes autonomous AI agents. • Collaborative Mindset: Experience building tooling meant for other technical stakeholders (engineers/TPMs) and incorporating user feedback into future iterations. • Core Engineering Skills: Solid understanding of software design, API development, and data workflows. Nice to Have: • Python Proficiency: Strong experience with Python and its associated libraries or AI frameworks (e.g., FastAPI, LangChain, or similar orchestration tools). • Security Knowledge: Familiarity with SIEM, API integrations, or general cybersecurity operations. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.