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Open nowPosted 4 hours agoWe saw it 114 min after it went up

Staff Engineer, Agentic AI

Clera289 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowStaff Engineer, Agentic AIClera · San Francisco

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The clock on this job

Early applications get read.

8.4% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 5 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.4%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 4 hours ago

Clera median: 5 days open

The posting

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.

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