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Open nowPosted 4 hours agoWe saw it 51 min after it went up

Staff Engineer, Agentic AI

Clera273 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.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 4 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 4 hours ago

Clera median: 4 days open

The posting

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.

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