Member of Technical Staff – RL Environments & Evals

MaxIT Consulting
San Francisco, CA
Category Engineering
Job Description
Role Overview

We are seeking a Research Engineer to build environments, evaluation systems, and infrastructure for training and assessing long-horizon enterprise AI agents.

What You Will Do

Design evaluation environments, define tasks and tools, build high-fidelity representations of complex enterprise software environments, and develop infrastructure for rollouts and grader pipelines.

Why It Might Be a Fit

The opportunity is open to exceptional new graduates, early-career engineers, and experienced senior candidates, with a strong preference for in-person collaboration.

Requirements

  • Hands-on experience with AI environments, evaluations, reinforcement learning infrastructure, or related agent-training systems
  • Strong software engineering fundamentals
  • Demonstrated ability to build and ship technical infrastructure
  • Understanding of evaluation methodology, reward design, graders, and agent trajectories
  • Ability to work across languages and technology stacks based on system requirements
]]>