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# Founding RL Engineer

- **Company:** True Talent Solutions LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Starter
- **Salary:** $125,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Mobile Application Development, Cursor, Distributed Computing Environment, Mobile Application Software, Python (Programming Language), Open Source Technology, TypeScript, Extensible Markup Language (XML), Reinforcement Learning, Scripting, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Claude Code, AI Coding Agents, Agentic-AI, Hardware Infrastructure
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/founding-rl-engineer-san-francisco-ca--f119da4c-ea21-4003-bdd2-63d0b38d602c

## About the Role

Artificial Intelligence (AI) Agents, Reinforcement Learning, Artificial Intelligence (AI), Product Planning, Python Programming/Scripting Language, JAX (Java API for XML), Mobile Applications Development, Amazon Web Services (AWS), GPU (Graphics Processing Unit), Startup, * Typically 3 or more years of experience in reinforcement learning or AI agent development, or 6 to 12 months building RL environments or data as a recent graduate.

 * Experience building coding RL environments and shipping AI agents into production, with strong reinforcement learning fundamentals.
 * Professional experience with Python and PyTorch or JAX, and hands-on use of AI coding tools such as Claude Code or Cursor.
 * Experience training models with policy gradient methods, reward modeling, RLHF, or related approaches.
 * Full-stack experience with TypeScript and AWS; experience with mobile development, distributed training, GPU infrastructure, or LLM post-training is a plus.
 * Familiarity with environment frameworks such as Gymnasium, Ray RLlib, Isaac, or MuJoCo, and training libraries such as TRL, verl, or OpenRLHF is helpful.
 * Strong shipping record in a startup or AI lab environment; a related degree or relevant open-source work or publications is valued.
 * Must be authorized to work in the United States without visa sponsorship and willing to relocate to San Francisco for an in-person 5.5-day work week.

## Description

Join an early-stage AI company as its first engineering hire, building reinforcement learning environments and AI agents. You will work closely with the co-founders, shape technical direction, and help grow the engineering team., * Build reinforcement learning environments and tasks using voice and enterprise data.

 * Develop and deploy AI agents for enterprise customers.
 * Partner with the co-founders on technical direction and product roadmaps.
 * Lead engineering as the team grows, balancing fast delivery with high-quality work.