Applied RL & Agent Systems for Frontier AI

Prime Intellect, Inc.; San Francisco (CA); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Salary + equity incentives

Flexible work—SF or hybrid-remote

Visa sponsorship & relocation support

Professional development budget

Team off-sites & conference attendance

Job summary

Prime Intellect, Inc. is seeking a senior ML engineer at the intersection of RL/post-training and applied agent systems to shape how advanced models are aligned, deployed, and used in real-world tasks.

You will build robust agent infrastructure, prototype in-field agents and eval harnesses, and collaborate closely with researchers, infra-heavy customers, and the open-source community. Hybrid work in San Francisco, with visa sponsorship and growth opportunities.

Qualifications

• Strong background in ML engineering with post-training, RL, or alignment.
• Experience with agent frameworks and tooling (DSPy, LangGraph, MCP, Stagehand).
• Familiarity with distributed training/inference frameworks (vLLM, Ray, Accelerate, Torch).
• Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.
• Passion for advancing state-of-the-art in reasoning and building practical, agentic AI systems.
• Strong technical writing abilities (documentation, blogs, papers) and research taste.
• Eagerness to drive collaborations with external partners and the open-source community.

Responsibilities

• Design next-generation AI agents for real workloads at scale.
• Build robust infrastructure for agents to operate reliably and cost-effectively.
• Translate ambiguous objectives into clear technical requirements guiding product and research.
• Prototype in the field by designing and deploying agents, evals, and harnesses for real-world tasks.
• Collaborate with research teams, infra-heavy customers, and open-source contributors on environments, evals, and verifiers.

Skills

ML Engineering

Post-Training RL

Agent Frameworks

Distributed Training

Research Publications

Technical Writing

Open-Source Collaboration

Tools

DSPy

LangGraph

MCP

Stagehand

vLLM

Ray

Accelerate

Torch

Job description

Prime Intellect, Inc. is seeking a senior ML engineer at the intersection of RL/post-training and applied agent systems to shape how advanced models are aligned, deployed, and used in real-world tasks.

You will build robust agent infrastructure, prototype in-field agents and eval harnesses, and collaborate closely with researchers, infra-heavy customers, and the open-source community. Hybrid work in San Francisco, with visa sponsorship and growth opportunities.