Clera

Staff Engineer, Agentic AI

San Francisco, California · On-site · Posted today

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Salary
Not listed
Job type
Full-time
Work mode
On-site
Source
Ashby (employer's hiring system)

Skills mentioned

LLM, Python

About the role

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.

Job ID ab-clera-e176b829-59ae-44b7-9d80-fd2a0d5fdf40 · Original posting ↗