Staff Engineer - Agentic AI
Core
Design and lead the core agent intelligence layer that executes multi-step workflows across complex desktop engineering software (CAD, CAE, PLM) to turn engineers' intent into reliable, cost-efficient actions.
Role type
Staff Engineer (Agentic AI)
Builds
Production-grade agentic AI systems for desktop engineering tools
Domain
Mechanical engineering software / Agentic AI
Deliverable
production ML models
Required skills
Agentic LLM architecture design, Python, LLM tooling (function calling, tracing/observability), evaluation and benchmarking of agentic systems, team leadership (3–6 engineers), cost optimization for AI workflows
Preferred skills
Desktop automation (COM, programmatic control), mechanical engineering domain knowledge, enterprise deployment constraints, open-source contributions in agentic AI
Technologies
Python, LLM frameworks, evaluation frameworks (SWE-bench, GAIA, τ-bench), observability tools (Logfire, LangSmith)
Responsibilities
Lead development of the agent intelligence layer for multi-step workflows; define agent capabilities from user stories and build implementations; drive agent task success rate and cost efficiency metrics; build rigorous evaluation infrastructure; lead user story mapping and validation; own agent architecture decisions (tool-calling, state management, error recovery); act as a player-coach writing production code and reviewing designs; collaborate cross-functionally on POCs
Seniority
Staff, technical leadership & hands-on IC