Product Engineer | Design Engineering Knowledge
Core
Build the 'Design Engineering Knowledge' capability that connects engineering design workflows with external information ecosystems (requirements, rules, constraints) using AI agents and LLMs.
Role type
Senior IC Product Engineer (AI/LLM applications)
Builds
Production software pipelines for requirements extraction, design rule checks (DfM/DfA/DfC), and enterprise system integrations
Domain
Manufacturing engineering (automotive, aerospace, energy) + Generative AI
Deliverable
production ML models
Required skills
Python, LLM applications (structured outputs, RAG, agents), API integrations (ERP/PLM), document processing (PDF/OCR), software testing (pytest), CI/CD
Preferred skills
Mechanical engineering background, MBSE/SysML, CAD data processing, vision-language models
Technologies
Python, LLM frameworks, ERP/PLM systems, PDF parsing tools, pytest, Git
Responsibilities
Ingest and extract requirements from customer specs using LLM pipelines; Extend foundation to design rules and manufacturing constraints; Integrate with enterprise systems (ERP, requirements management); Design data models linking requirements to design parameters; Create evaluation metrics for AI accuracy; Design human-in-the-loop review flows; Identify reusable platform components
Seniority
Senior, hands-on IC