RL Infrastructure Engineer: Agent Environments & Evaluations

MaxIT Consulting - Max Corporate Group; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group, based in San Francisco, seeks a Research Engineer to build RL agent environments, evaluation systems, and supporting infrastructure for long-horizon enterprise AI tasks. You will shape tasks, state, tools, graders, and reward signals to drive robust agent evaluation.

The role emphasizes production-quality systems, cross-team collaboration, and hands-on engineering across languages and stacks. On-site with a strong collaboration culture.

Qualifications

• Hands-on experience with AI environments, evaluations, reinforcement learning infrastructure, or related agent-training systems.

Responsibilities

• Design evaluation environments for long-horizon enterprise agent workflows.
• Define tasks, state, tools, graders, and reward signals used to evaluate and improve agents.
• Build high-fidelity representations of complex enterprise software environments.
• Develop infrastructure for rollouts, orchestration, trajectory inspection, and grader pipelines.
• Measure both correctness and efficiency across multi-step agent behavior.
• Investigate evaluation failures, reward-quality issues, and agent behavior.
• Build production-quality systems rather than notebook-only research prototypes.

Skills

AI environments

RL infrastructure

Software engineering

Infrastructure development

Cross-language

Job description

MaxIT Consulting - Max Corporate Group, based in San Francisco, seeks a Research Engineer to build RL agent environments, evaluation systems, and supporting infrastructure for long-horizon enterprise AI tasks. You will shape tasks, state, tools, graders, and reward signals to drive robust agent evaluation.

The role emphasizes production-quality systems, cross-team collaboration, and hands-on engineering across languages and stacks. On-site with a strong collaboration culture.