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Full Stack Developer : Agentic AI

Apple· Hardware
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Hybrid (Herzliya, Tel Aviv District; Haifa, Haifa District)full-timePosted 2mo ago

About the role

Software engineer with backend focus to design and build agentic GenAI systems for chip design engineers. Own agentic infrastructure end-to-end, including LLM orchestration, tool-calling layers, multi-agent workflows, and hosting services, integrating with Linux environments and EDA tools.

Responsibilities

  • Architect, build, and operate the agentic infrastructure including LLM orchestration, tool-calling layers, multi-agent workflows, and the services that host them
  • Design and implement software solutions for chip design engineers, translating workflows into automated agent-driven systems
  • Integrate agents and services with existing Linux-based environments, in-house tools, and third-party EDA tools
  • Manage agentic and ML workflows in production for performance, availability, and resource efficiency
  • Deploy and maintain production services with proactive monitoring to catch regressions
  • Build automated evaluation frameworks to measure retrieval quality, agent execution, and LLM output accuracy across releases
  • Partner with CAD teams to integrate pipelines and agents into CI/CD with reliable deployments and safe rollbacks
  • Implement access controls, authentication, and secret-handling practices for sensitive design data
  • Collaborate closely with ML engineers, researchers, and customer teams
  • Contribute to end-to-end lifecycle of agentic systems and deployments.

Qualifications

  • 5+ years of full stack development experience with relational and NoSQL databases (e.g., MongoDB, SQL)
  • Strong object-oriented programming and system design skills; proficient in TypeScript and Python (frontend and backend)
  • Hands-on experience building dynamic web applications with React (frontend) and Node.js or Python (backend)
  • Familiarity with microservices, Docker, Kubernetes, and CI/CD (GitLab, GitHub Actions, Jenkins)
  • Proven experience designing, developing, and scaling real-time and distributed systems
  • Hands-on experience deploying LLM-powered applications, agents, or related components (e.g., vector databases, RAG pipelines) in production
  • Excellent communication and collaboration skills to bridge engineering teams and explain trade-offs
  • Experience implementing observability and performance benchmarking pipelines for AI system reliability
  • Familiarity with chip design or EDA environments
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Prior experience in fast-paced startup or agile product development environment
  • BSc or MSc in Computer Science, Computer Engineering, Electrical Engineering, or related fields

Skills

Required:Full stack developmentFrontend developmentBackend developmentSystem designLLM / AI deployment

Benefits

  • Accessibility as a fundamental right reflected in culture, benefits, and tools
Last updated Sep 11, 2026. Interested? Apply on the company site.

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