StaffEngineer—AgenticAI

ABOUT THE ROLE A well-funded, early-stage B2B SaaS company building AI agent infrastructure for mechanical engineering workflows is hiring a Staff Engineer — Agentic AI to own the core agent intelligence layer. This is a high-impact, senior technical leadership role reporting directly to the CTO. You'll sit at the intersection of applied agentic AI, user research, and product delivery — determining real-world value for Fortune 100 enterprise customers in the CAD, CAE, and PLM space. You'll lead a small team of AI engineers, a user researcher, and domain expert contractors, acting as a player-coach who writes production code and sets technical direction. WHAT YOU'LL DO - Lead development of the core agent intelligence layer that executes multi-step workflows across complex desktop engineering software. - Own the full product loop: define agent capabilities from user stories, build implementations, and benchmark against real workflows. - Drive agent task success rate — define the evaluation framework, establish baselines, and systematically improve completion metrics. - Set and enforce per-task token budgets; track cost per completed workflow to ensure commercial viability. - Build rigorous, reproducible evaluation infrastructure grounded in validated user stories (SWE-bench-level rigor applied to engineering workflows). - Lead user story mapping and validation through interviews and close collaboration with domain experts. - Translate validated user stories into testable evals and close the loop between research and benchmarking. - Own agent architecture decisions: tool-calling strategies, state management, error recovery, model routing, and context management. - Set technical direction, review architecture decisions, unblock the team, and raise the engineering bar across a team of 3–6 engineers. - Collaborate cross-functionally with integrations, product, and customers during POCs to align agent behavior with real-world usage. WHAT WE'RE LOOKING FOR Must-haves: - 7+