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Founding Engineer, AI Agent Evaluation

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Early-stage AI startup seeks its first engineer to design evaluation systems for AI agents, scoring complex business tasks, building test scenarios, and ensuring statistically sound results. Requires experience in evaluation systems, benchmarks, or RL environments for LLMs/agents, with 2-6 years of relevant experience. Bonus for post-training, domain expertise, or research in evaluation.

Key Highlights
First engineer role at an early-stage AI startup
Focus on designing evaluation systems for AI agents
2-6 years of experience required, bonus for domain expertise or research
Key Responsibilities
Design scoring systems for AI agent output on complex tasks
Develop realistic test scenarios and simulated workflows
Ensure statistical soundness and trustworthiness of evaluation results
Translate customer-specific approaches into core product features
Technical Skills Required
Evaluation Systems RL Environments LLM Benchmarking
Benefits & Perks
Up to $300k base salary
Significant founding equity
Comprehensive health benefits
Relocation support to San Francisco
Nice to Have
Experience with RLHF or SFT post-training techniques
Domain expertise in finance, legal, or healthcare
Background in statistics or published research on evaluation

Job Description

An early-stage, venture-backed AI startup in San Francisco is hiring its first engineer. The company helps enterprises understand whether their AI agents are actually doing the job: how well they perform, where they break, and how to improve them.

What you’ll work on:

  • Designing ways to score agent output on complex business tasks where there’s no single right answer
  • Building realistic test scenarios and simulated workflows that reflect how agents are used in practice
  • Deciding how much testing is enough, and making sure results are statistically sound and trusted by customers
  • Taking approaches that work in individual customer deployments and building them into the core product
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