Software Engineer, AI Agents & Engineering Workflows

We are looking for a Software Engineer to build AI-assisted workflows around semiconductor

engineering automation. This role is ideal for someone who enjoys LLMs, retrieval, tool-using agents, workflow automation, evaluation, and practical integrations with real engineering data and platform APIs.

WHAT YOU WILL DO

• Build AI assistant workflows for engineering setup, troubleshooting, review, and knowledge retrieval.
• Connect tool-using agents to platform APIs, engineering data, documents, and automation workflows.
• Develop knowledge-ingestion pipelines for engineering practices, process rules, requirements, and

reusable workflow patterns.

• Create evaluation datasets and tests to verify assistant correctness, usefulness, and safety.
• Build workflow templates that help engineering teams standardize repeated tasks across programs.
• Develop integrations that let AI agents call real tools and return traceable, reviewable results.

REQUIRED SKILLS

• Strong Python or TypeScript development skills.
• Hands-on exposure to LLMs, RAG, tool calling, agents, workflow automation, or API integration.
• Ability to build practical software, not just prompts or prototypes.
• Good debugging, testing, documentation, and integration habits.
• Strong communication skills and curiosity to learn engineering workflows.
• Comfortable using AI coding tools responsibly and validating outputs carefully.

Experience

2-4 years

GOOD TO HAVE

• LangChain, LlamaIndex, Semantic Kernel, MCP, vector databases, embeddings, or agent frameworks.
• LLM evaluation, prompt/version management, retrieval evaluation, or AI workflow testing.
• Backend or frontend integration experience.
• ML/data pipeline exposure.
• Experience building internal automation tools, engineering assistants, or knowledge systems.
• Exposure to semiconductor test, ATE, validation, CAD/CAE, or engineering automation domains.