Full Stack Developer : Agentic AI
Apple· Engineering / ML
Hybrid (Haifa; Herzliya)Full-timePosted 2mo ago
About the role
Software engineer role within an ML group focused on designing and building agentic GenAI systems for chip design engineers. Responsible for end-to-end agentic infrastructure, integration with Linux-based workflows and EDA tools, production reliability, and collaboration with ML engineers, researchers, and customer teams.
Responsibilities
- Architect, build, and operate the agentic infrastructure: LLM orchestration, tool-calling layers, multi-agent workflows, and hosting services.
- Design and implement software solutions for chip design engineers, translating workflows into automated agent-driven systems.
- Integrate agents and services with Linux environments, in-house tools, and third-party EDA tools.
- Manage agentic and ML workflows in production for performance, high availability, and resource efficiency.
- Deploy and maintain production services with proactive monitoring to catch regressions before users are affected.
- 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.
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, with proficiency in TypeScript and Python for frontend and backend development.
- Hands-on experience building dynamic web applications using 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 technical trade-offs.
Skills
Required:Full stack developmentFrontend developmentBackend development
Benefits
- Accessibility and inclusive culture at Apple.
- Benefits aligned with Apple’s workplace policies (specific benefits not enumerated in description).
Last updated Aug 7, 2026. Interested? Apply on the company site.
About Apple
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