AI Builder jobs in Israel

SciPlay is a leading developer and publisher of digital games on mobile and web platforms, providing highly entertaining free-to-play games that millions of people play every day for their authenticity, engagement and fun. SciPlay currently offers nine core games, including social casino games Jackpot Party Casino, Gold Fish Casino Slots, Hot Shot Casino and Quick Hit Slots, and casual games MONOPOLY Slots, Bingo Showdown, 88 Fortunes Slots, Backgammon Live and Solitaire Pet Adventure with offices all over the world! Position Summary We are looking for a Data Science and AI builder with a strong background in applied machine learning, experience working with real business data, and a product-oriented mindset. In this role, you will transform game, player, and operational data into models and analytical products that support business decisions, from problem definition and feature engineering to model evaluation, deployment, and monitoring. The role requires hands-on modeling skills and the ability to clearly explain assumptions, evaluation methods, uncertainty, and model limitations. Key Responsibilities • Translate business questions into measurable modeling objectives, hypotheses, baselines, and success criteria. • Prepare and explore data, define labels, engineer features, and identify data-quality issues, leakage, bias, and missing data. • Build and compare models for regression, classification, clustering, forecasting, anomaly detection, ranking, and segmentation. • Design robust evaluations using holdout sets, cross-validation, backtesting, error analysis, and business-relevant metrics. • Collaborate with product owners, analysts, game teams, and operations to define the decisions each model will support. • Connect model performance to business outcomes and operational thresholds. • Apply LLM and agent capabilities when they improve workflows or products. • Deliver production-ready solutions with testing, documentation, versioning, and appropriate review processes. Requirements • 2–3 years of experience in applied data science, machine learning, or a related field, including ownership of at least one model from development through evaluation. • Experience with problem formulation, feature engineering, algorithm selection, tuning, validation, and error analysis. • Strong Python and SQL skills, with hands-on experience using pandas, NumPy, scikit-learn, or similar libraries. • Solid foundations in statistics and model evaluation, including sampling, cross-validation, leakage, class imbalance, uncertainty, and causal limitations. • Practical experience in at least one area such as forecasting, anomaly detection, classification, regression, segmentation, or ranking. • Hands-on experience with AI tools such as Claude, ChatGPT, Codex, or similar tools for building working products. • Experience productionizing models through scheduled workflows, services, or APIs, and monitoring data quality, model performance, drift, and failures. • Strong problem-solving and communication skills, with the ability to explain technical decisions, results, tradeoffs, and limitations to business partners. • Experience in mobile gaming, social casino, live operations, game analytics, or another data-intensive consumer product domain.

SciPlay is a leading developer and publisher of digital games on mobile and web platforms, providing highly entertaining free-to-play games that millions of people play every day for their authenticity, engagement and fun. SciPlay currently offers nine core games, including social casino games Jackpot Party Casino, Gold Fish Casino Slots, Hot Shot Casino and Quick Hit Slots, and casual games MONOPOLY Slots, Bingo Showdown, 88 Fortunes Slots, Backgammon Live and Solitaire Pet Adventure with offices all over the world! Position Summary We are looking for a Data Science and AI builder with a strong background in applied machine learning, experience working with real business data, and a product-oriented mindset. In this role, you will transform game, player, and operational data into models and analytical products that support business decisions, from problem definition and feature engineering to model evaluation, deployment, and monitoring. The role requires hands-on modeling skills and the ability to clearly explain assumptions, evaluation methods, uncertainty, and model limitations. Key Responsibilities • Translate business questions into measurable modeling objectives, hypotheses, baselines, and success criteria. • Prepare and explore data, define labels, engineer features, and identify data-quality issues, leakage, bias, and missing data. • Build and compare models for regression, classification, clustering, forecasting, anomaly detection, ranking, and segmentation. • Design robust evaluations using holdout sets, cross-validation, backtesting, error analysis, and business-relevant metrics. • Collaborate with product owners, analysts, game teams, and operations to define the decisions each model will support. • Connect model performance to business outcomes and operational thresholds. • Apply LLM and agent capabilities when they improve workflows or products. • Deliver production-ready solutions with testing, documentation, versioning, and appropriate review processes. Requirements • 2–3 years of experience in applied data science, machine learning, or a related field, including ownership of at least one model from development through evaluation. • Experience with problem formulation, feature engineering, algorithm selection, tuning, validation, and error analysis. • Strong Python and SQL skills, with hands-on experience using pandas, NumPy, scikit-learn, or similar libraries. • Solid foundations in statistics and model evaluation, including sampling, cross-validation, leakage, class imbalance, uncertainty, and causal limitations. • Practical experience in at least one area such as forecasting, anomaly detection, classification, regression, segmentation, or ranking. • Hands-on experience with AI tools such as Claude, ChatGPT, Codex, or similar tools for building working products. • Experience productionizing models through scheduled workflows, services, or APIs, and monitoring data quality, model performance, drift, and failures. • Strong problem-solving and communication skills, with the ability to explain technical decisions, results, tradeoffs, and limitations to business partners. • Experience in mobile gaming, social casino, live operations, game analytics, or another data-intensive consumer product domain.

Tomorrow.io’s Saas department is focused on building software and products at scale, from infrastructure that handles massive amounts of data to outstanding customer centric user experiences in B2B, B2C and B2D products that change billions of lives worldwide. We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved. This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator. You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow. This is not about incremental AI integration — this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter. Responsibilities • Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability. • Build platform primitives that enable dynamic AI-driven module and extension generation. • Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle. • Define and codify AI-native engineering practices, patterns, and guidelines to elevate Tomorrow.io’s software development lifecycle. • Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability. • Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers. • Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams. • Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals. Requirements • Strong builder’s mindset — balancing deep system thinking with practical, hands-on delivery. • 10+ years of full stack system architecture and complex platform engineering experience. • Deep expertise designing distributed, composable, and extensible systems across frontend and backend environments. • Strong hands-on skills with frontend frameworks (e.g., React, Next.js) and backend systems (e.g., Node.js, Python, Go, microservices, event-driven architectures). • Proven experience integrating and operationalizing AI-assisted development tools (e.g., GitHub Copilot, Cursor) into engineering workflows. • Experience building plugin frameworks, extension systems, or developer platforms that emphasize modularity and scalability. • Track record of defining and promoting engineering best practices — especially in the context of AI-driven development. • Demonstrated technical leadership — mentoring engineers, shaping architecture standards, and driving adoption of new paradigms. If you have reached this point and you are super excited but not sure you check all the boxes - we still want to speak with you! Your passion is priceless. Other things can be learned. ___________________________________________________________________________________________ About tomorrow.io: Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io. Ethos: Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first. How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

About the Role We're looking for a Senior AI Solutions Builder to join our Product - CTO Ops team. In this role, you will design, build, and ship AI-powered solutions that enhance productivity and drive measurable business value across the organization. You will operate at the intersection of AI, data, pricing and business - owning the end-to-end development of agents, copilots, and workflow automations that directly inform decisions and eliminate manual work. You are both a builder and an enabler. You ship solutions yourself and raise the AI capability floor for the teams around you. You'll collaborate closely with Product, Engineering, CS, Sales, and builders across the company to deliver outcomes that improve decision velocity, product and operational efficiency, and long-term growth. What You Will Do • Design and ship AI-powered copilots, agents, and decision-support tools for the product team, starting with pricing • Build data pipelines and analytical models for pricing intelligence • Develop autonomous agents that automate recurring product tasks • Automate manual workflows across product tools so the right action happens when a signal fires • Build LLM-based scoring models that give roadmap and prioritization decisions a data backbone • Enable and upskill product teams through AI playbooks, sessions, and hands-on co-building • Collaborate with builders across Engineering, CS, GTM, and other teams to co-create solutions that scale • Define and track impact: time-to-insight, decision velocity, manual hours eliminated, and business outcomes You Bring • Proven, hands-on experience building and shipping AI-powered tools, agents, or pipelines in production environments • Builder / vibe coder mindset uses AI-assisted tools (Claude, Cursor, Copilot, n8n) to ship independently without an engineering ticket • Experience working cross-functionally with Product, Finance, and go-to-market teams in a B2B SaaS environment • Ability to connect systems independently: APIs, webhooks, data pipelines • Strong communication and collaboration skills across diverse teams • Ability to prioritize, problem-solve, and navigate ambiguity in a dynamic environment • Comfortable learning and applying new technologies, tools, and methodologies Nice To Have • Experience in pricing, monetization, revenue analytics, or usage-based commercial models • Background in Product work • Familiarity with causal inference, A/B experimentation, or uplift modeling • Comfortable with analytics platforms (Heap, GA4, Mixpanel, Amplitude) and PM tools (Jira, Confluence, Productboard, etc.) • Experience working in a distributed, multicultural environment

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the Role: Hello Heart is hiring a full-time Senior AI Builder to drive AI enablement across Tech, Product, and executive workflows. You will identify high-value manual work, build the AI solution, and own the technical implementation required to make it reliable in production. This includes the workflow itself and the AI-adjacent IT layer behind it. You must also be effective with non-technical executive users. You will turn ambiguous requests into practical workflows and help leaders become independent, confident users of AI. You will report to the SVP, AI & Data Science, with dotted-line priority alignment to an executive sponsor. Responsibilities: • Partner with Tech, Product, and executive leaders to identify high-friction workflows where AI can create measurable operating leverage. • Build and ship agents, automations, and AI-powered workflows, from discovery through adoption. • Own the technical implementation behind AI workflows, including tool configuration, access setup, connector configuration, API and OAuth integrations, workflow deployment, troubleshooting, and ongoing maintenance. • Work directly with non-technical executive users to build reliable workflows for preparation, synthesis, operating reviews, follow-through, and decision support. • Run rapid discovery, build quickly, test in real work, and iterate based on usage and impact. • Partner with IT, Security, and AI Ops to implement approved access and integrations. Escalate only true infrastructure or policy blockers. • Create reusable technical patterns, templates, and playbooks that make future builds faster and safer. • Measure adoption and impact. Retire workflows that do not create durable value. Qualifications: • 5+ years of experience in applied AI, product engineering, workflow automation, technical operations, or a similar hands-on building role. • Strong hands-on ability with LLMs, agent design, prompt engineering, workflow automation, APIs, OAuth, integrations, and light engineering. • Experience configuring and supporting enterprise SaaS tools, permissions, connectors, and operational workflows. • A portfolio of AI agents, automations, or internal tools that demonstrates real adoption and impact. • Ability to work directly with senior, non-technical leaders and translate vague requests into useful, trustworthy products. • Strong judgment about source quality, privacy, security, reliability, and when human review is required. • Comfort troubleshooting real user problems and owning the technical resolution. • Bias toward shipping, measuring, iterating, and killing low-value work. Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

Description Join Noma Security and help shape the future of AI security in a fast-paced, high-impact environment. Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At Noma, you’ll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters. We’re looking for an AI Builder to serve as the technical backbone of Noma’s internal AI function. You’ll build the LLM-powered agents, automation pipelines, integrations, and infrastructure that teams across the company rely on every day. This is a rare opportunity to build a new function from the ground up within a company where the work can have an immediate and meaningful impact. You’ll create systems such as tools that help Sales track competitive deals in real time, pipelines that automatically turn customer calls into Salesforce updates, and agents that identify competitor activity and deliver actionable insights directly to Slack. This is a highly hands-on role with true end-to-end ownership-from translating business needs into focused technical solutions to deploying, monitoring, and continuously improving production systems. 🛠️ What You’ll Do: Build AI-Powered Agents and Automations • Design and build LLM-powered agents, automation pipelines, and backend services used across the organization. • Develop complex integrations that bring together data from multiple internal and external systems. • Build custom MCP servers and other infrastructure required to support scalable internal AI workflows. • Turn fuzzy business needs into practical, focused, and maintainable technical solutions. Own the Internal AI Infrastructure • Harden and maintain Noma’s existing MCP Gateway ecosystem. • Improve reliability, error handling, authentication, secrets management, and versioning. • Implement secure, vault-based credential management and strong security practices across production automations. • Build infrastructure that enables agents and workflows to operate reliably at scale. Drive Production Readiness and Reliability • Own the deployment, monitoring, maintenance, and reliability of agents and automations in production. • Build evaluation frameworks, test sets, and monitoring processes to measure accuracy, precision, recall, hallucination rates, and overall agent performance. • Identify regressions and continuously improve the quality and stability of production workflows. • Troubleshoot failures across integrations, models, APIs, and automation pipelines. Drive Adoption and Business Impact • Partner closely with the AI Product Manager and teams across the organization to understand their workflows and challenges. • Ensure the solutions we build are adopted and deliver measurable value—not just technically functional. • Gather feedback from end users, iterate quickly, and continuously improve the ROI of internal AI systems. • Help teams across Noma incorporate AI effectively into the way they work. ✅ What You Bring: • 3–5 years of software engineering or hands-on development experience. • Strong Python skills and experience writing clean, maintainable, production-grade code. • Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar. • Experience building integrations using REST APIs, webhooks, and asynchronous pipelines. • Experience with automation platforms such as n8n, Make, Zapier, or similar. • Hands-on experience with MCP and building or integrating MCP servers. • Experience evaluating LLM or agent performance in production, including building evaluation harnesses or test sets to identify regressions. • Understanding of secrets management, credential handling, and security best practices for production automations. • Ability to work independently and own projects end-to-end. • Strong problem-solving skills and the ability to turn ambiguous requirements into practical technical solutions. 🎯 Who You Are: • Genuinely excited about AI and actively following developments in the space. • Adaptable by default-you learn quickly, pivot when needed, and don’t become overly attached to a specific tool or approach. • You ship quickly, gather feedback, and iterate. • You care about the end user and business impact, not only the technology. • Comfortable working in a fast-moving startup environment without an established playbook. • Highly accountable, hands-on, and motivated by building something from the ground up. 💡 Nice to Haves: • Background in cybersecurity or enterprise B2B SaaS. • Experience with agent frameworks such as LangChain, LangGraph, CrewAI, or equivalent. • Experience building internal developer platforms or company-wide automation infrastructure. • Familiarity with Salesforce, Slack, and other common enterprise systems. • Experience driving internal adoption of AI tools and measuring their business impact. 💙 Perks & Benefits: • Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail. • A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶 • Team bonding activities, company retreats, happy hours, and holiday gifts. • Pilates classes at the office 💪🧘‍♀️ • Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️ • A warm, supportive, and people-first company culture. • Pension and Keren Hishtalmut (advanced training fund). • A global work environment with teams across Tel Aviv, the US, the Netherlands, and London. • Options that let you share in Noma’s growth and success.