Senior RL & Agent Infrastructure Engineer

Prime Intellect, Inc.; New York (NY); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Professional development budget

Team off-sites & conference attendance

Flexible work arrangement

Job summary

Prime Intellect, Inc. is building the open frontier AI stack, unifying research, infrastructure, and deployment for large-scale agent systems. You will design and advance RL/post-training methods, and build robust platforms for real-world use.

You will prototype in-field agents, eval harnesses, and verifiers, while collaborating with researchers and external partners to scale solutions to real workloads.

Qualifications

• Strong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment.
• Experience with agent frameworks and tooling (e.g. DSPy, LangGraph, MCP, Stagehand).
• Familiarity with distributed training/inference frameworks (e.g., vLLM, sglang, Accelerate, Ray, Torch).
• Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.
• Passion for advancing the 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 engage with the broader open-source community.

Responsibilities

• Advancing Agent Capabilities: Designing and iterating on next-generation AI agents that tackle real workloads—workflow automation, reasoning-intensive tasks, and decision-making at scale.
• Building Robust Infrastructure: Developing the systems and frameworks that enable these agents to operate reliably, efficiently, and at massive scale.
• Bridge Between Applications & Research: Translate ambiguous objectives into clear technical requirements that guide product and research priorities.
• Prototype in the Field: Rapidly design and deploy agents, evals, and harnesses for real-world tasks to validate solutions.

Skills

Machine learning engineering

Agent frameworks

Distributed training

Research contributions

Technical writing

Collaboration

React

TypeScript

Next.js

Tools

DSPy

LangGraph

MCP

Stagehand

vLLM

sglang

Accelerate

Ray

Torch

Docker

Kubernetes

Terraform

Job description

Prime Intellect, Inc. is building the open frontier AI stack, unifying research, infrastructure, and deployment for large-scale agent systems. You will design and advance RL/post-training methods, and build robust platforms for real-world use.

You will prototype in-field agents, eval harnesses, and verifiers, while collaborating with researchers and external partners to scale solutions to real workloads.