Staff Engineer, Agentic AI

About the Role

Join a small AI engineering team at an early-stage engineering software company building agentic AI for complex engineering workflows. As a hands-on technical leader, you will shape the agent intelligence that helps mechanical engineers complete multi-step tasks across desktop engineering tools, connecting user research, reliable task execution, and product delivery.

What You'll Do

• Lead the design and development of agent capabilities for multi-step workflows in desktop engineering software.

• Define evaluation frameworks, build reproducible benchmarks from validated user stories, and improve task completion while tracking failure modes.

• Set per-workflow token budgets and measure cost per completed task to support efficient, commercially viable systems.

• Partner with user researchers and domain experts to document and validate engineering workflows, then translate them into test cases.

• Prioritize workflow coverage based on customer value and technical feasibility.

• Own agent architecture decisions across tool calling, state management, error recovery, model routing, and context management.

• Provide technical direction to 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 needs.

What We're Looking For

• At least 7 years of software engineering experience, including 2 or more years building 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 tools.

• Experience building rigorous agent evaluation and benchmarking systems that measure task completion, cost efficiency, and failure modes.

• Hands-on technical leadership experience setting direction and reviewing code for a small team while continuing to ship production software.

• Experience applying AI or LLM tooling to proprietary engineering data or desktop engineering software. Background in mechanical engineering, CAD, CAE, PLM, or an adjacent domain is valuable.

• Familiarity with desktop automation or programmatic application control, such as COM, and enterprise workstation constraints.

Compensation & Benefits

Annual salary range: $160,000 to $250,000 USD. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States.