Staff Engineer, Agentic AI

ABOUT THE ROLE Lead the development of agent intelligence that helps mechanical engineers complete complex, multi-step workflows across desktop engineering software. As a hands-on technical lead on a small AI engineering team, you will shape the agent architecture, connect user research with product development, and improve the reliability and cost efficiency of real-world workflows. WHAT YOU'LL DO - Own agent task success metrics, establish performance baselines, and systematically improve completion rates. - Build rigorous, reproducible evaluation infrastructure grounded in validated user stories and real engineering workflows. - Set per-task token budgets and track the cost of completed workflows. - Work with researchers and engineering domain experts to map, interview about, and validate user workflows. - Translate validated user stories into testable evaluations and prioritize workflow coverage by customer value and technical feasibility. - Make architecture decisions across tool calling, state management, error recovery, model routing, and context management. - Set technical direction for a small team, review designs and code, unblock teammates, and contribute production code. - Collaborate with product, integrations, and customers to align agent behavior with real-world use. WHAT WE'RE LOOKING FOR - At least 7 years of software engineering experience, including 2 or more years building and shipping LLM-based agents that take real-world actions. - Deep experience with LLM application architecture, including model selection, context management, retrieval, tool calling, and orchestration. - Strong Python skills and familiarity with function calling, tool APIs, tracing or observability, and evaluation tooling. - Experience building benchmarks for task completion, cost efficiency, and failure analysis. - Hands-on technical leadership and code review experience on a small engineering team. - Experience applying AI or LLM tooling to proprietary engineering data or desktop engineering software, with background in mechanical engineering, CAD, CAE, PLM, or a related domain. - Familiarity with desktop automation and enterprise workstation constraints is valuable. COMPENSATION & BENEFITS Salary range: $160,000 to $250,000 USD annually. Visa sponsorship is not available. LOCATION On-site in San Francisco, California, United States.