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Salary
$160k – $250k per year
Location
In office (San Francisco)
Seniority
Staff · 7+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 27, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
Backed by TU

About the Role

Lead the development of agent intelligence that helps engineers complete complex workflows across desktop engineering software. You will be a hands-on technical lead for a small AI team, partnering with user research and domain experts to deliver reliable, cost-efficient capabilities grounded in real engineering workflows.

What You'll Do

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

  • Define and improve task success metrics, establishing baselines and tracking workflow completion, cost, and failure modes.

  • Build rigorous, reproducible evaluation infrastructure that translates validated user stories into test cases.

  • Work with researchers, domain experts, and engineers to map user workflows and prioritize valuable agent capabilities.

  • Set per-task token budgets and measure cost per completed workflow.

  • Lead a small team through technical direction, design reviews, code reviews, and hands-on implementation.

  • 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 LLM agents that take real-world actions.

  • Deep knowledge of LLM application architecture, including model selection, context management, retrieval, tool calling, and orchestration.

  • Experience creating agent evaluation and benchmarking frameworks for task completion, cost efficiency, and failure analysis.

  • Strong Python skills and familiarity with function calling, tool APIs, observability or tracing, and evaluation tools.

  • Hands-on technical leadership experience guiding a small engineering team while continuing to write production code.

  • Experience shipping AI or LLM tools over proprietary engineering data or desktop engineering software.

  • Experience with desktop automation or application APIs, such as COM, and familiarity with enterprise workstation constraints.

  • Background in mechanical engineering software, CAD/CAE, PLM, or a related engineering domain.

Compensation & Benefits

Base salary: $160,000 to $250,000 annually. Visa sponsorship is not available.

Location

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

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