Staff Engineer, Agentic AI

2 days ago

Base Salary

$160k - $250k/yr

Responsibilities

Lead the design and development of agent capabilities for multi-step workflows in desktop engineering software.
Define evaluation frameworks and reproducible benchmarks based on validated user stories, tracking task completion and failure modes.
Set workflow token budgets and measure cost per completed task.
Translate engineering workflows into validated test cases with user researchers and domain experts.
Prioritize workflow coverage based on customer value and technical feasibility.
Own architecture decisions involving tool calling, state management, error recovery, model routing, and context management.
Provide technical direction, review designs and code, unblock teammates, and contribute production software.
Collaborate with product, integrations, and customers to align agent behavior with real-world needs.

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 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, including enterprise workstation constraints.