Full Stack Developer – Agentic AI for Chip Design

About the role

As a member of the ML group, you will design and build agentic GenAI systems that help chip design engineers accelerate their daily workflows. The position focuses on creating backend infrastructure and integrating LLM‑powered agents into Linux‑based chip design toolchains.

Key responsibilities

• Architect, build, and operate the agentic infrastructure, including LLM orchestration, tool‑calling layers, multi‑agent workflows, and hosting services.
• Design software solutions that translate chip design engineers’ workflows into reliable, automated agent‑driven systems.
• Integrate agents with Linux environments, in‑house tools, and third‑party EDA tools.
• Manage production ML and agentic workflows to ensure performance, high availability, and resource efficiency.
• Deploy and maintain production services with proactive monitoring to detect regressions early.
• Build automated evaluation frameworks to measure retrieval quality, agent execution, and LLM output accuracy across releases.
• Partner with CAD teams to embed pipelines and agents into CI/CD processes, enabling safe rollbacks.
• Implement access controls, authentication, and secret‑handling practices for sensitive design data.
• Collaborate closely with ML engineers, researchers, and customer teams.

Required profile

• 5+ years of full‑stack development experience.
• Hands‑on experience with relational and NoSQL databases such as MongoDB and SQL.
• Strong object‑oriented programming and system design skills, proficient in TypeScript and Python.
• Experience building dynamic web applications with React for the frontend and Node.js or Python for the backend.
• Familiarity with microservices, containerization (Docker), orchestration (Kubernetes), and CI/CD tools (GitLab, GitHub Actions, Jenkins).
• Proven ability to design, develop, and scale real‑time distributed systems.
• Experience deploying LLM‑powered applications, agents, or related components (vector databases, RAG pipelines) in production.
• Excellent communication and collaboration skills.

Required skills

• TypeScript
• Python
• React
• Node.js
• MongoDB
• SQL
• Docker
• Kubernetes
• GitLab
• GitHub Actions
• Jenkins
• Microservices
• LLM orchestration
• Vector databases
• Retrieval‑Augmented Generation pipelines
• Observability
• Performance benchmarking
• Access control
• Authentication
• Secret management