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Founding Engineer – Reinforcement Learning Environments & Data

profitable seed-stage ai company in san francisco • United States
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AI Summary

Build realistic simulated business environments (e.g., email, CRMs) and evaluation systems for AI agents. Focus on turning real-world agent failures into robust RL environments, datasets, and benchmarks. Requires 1+ years of experience in RL environments, synthetic data, or model evaluation.

Key Highlights
Build RL environments, datasets, and benchmarks for autonomous AI agents.
Focus on real-world agent failures and simulated business environments (e.g., email, CRMs).
Work directly with founders and influence technical direction as a founding engineer.

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Key Responsibilities
Analyze real agent interaction traces to identify model failures.
Develop reinforcement learning environments and benchmarks.
Design robust graders and evaluation systems for AI agents.
Create synthetic datasets and support post-training workflows.
Technical Skills Required
Reinforcement Learning (RL) Environments Synthetic Data Generation Model Evaluation Systems

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Benefits & Perks
Unlimited AI spend
Daily lunch provided
Meaningful equity
No time tracking (output-focused)
Visa sponsorship available

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Nice to Have
Experience with frontier AI labs' environments or evaluation systems.
Background in RLHF (Reinforcement Learning from Human Feedback).
Founder experience or participation in a founder fellowship.

Job Description

About the company

A profitable, seed-stage AI company in San Francisco is building autonomous agents capable of completing entire business tasks. Its agents already handle workflows such as accounts receivable through Slack and scheduling through email. The company generates hundreds of thousands of agent interaction traces every week, with customers acquired primarily through referrals.

The team is now expanding with two founding engineering hires to build the environments, datasets, and evaluation systems that make its agents more capable and reliable.

The role

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Job Overview
Posted Nov 10, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Programming
Company profitable seed-stage ai company in san francisco
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