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AI Research Scientist

Ai ml · Posted 3 months ago

RELAI is building the infrastructure to make AI agents reliable in production. We help enterprises design, evaluate, and optimize AI agents, turning brittle prototypes into robust, scalable workflows that actually work in real-world environments.

Way of working
Remote
Location
Washington, DC, Remote (EST)
Pay range
$130,000 to $200,000
Level
Junior
Experience
1+ years
Type
Full time
Visa sponsorship
Not offered for this role
The company
Technology, Information and Internet · under 20 people

Skills that matter here

PythonAI/MLLLMsReinforcement LearningAI AgentsAgent FrameworksEvaluation SystemsContinuous Learning

What you would be doing

  • Develop and improve core AI methods, algorithms, and systems across the lifecycle of reliable AI agents.
  • Create novel approaches for simulation, evaluation, and optimization of agent behavior in real-world settings.
  • Turn ideas into working systems, prototypes, and production-facing capabilities.
  • Work closely with product and engineering teams to translate frontier AI innovation into practical customer value.
  • Help define RELAI's technical direction in agent reliability, evaluation, and optimization.

The full description

About RELAI

RELAI is building the infrastructure to make AI agents reliable in production. We help enterprises design, evaluate, and optimize AI agents, turning brittle prototypes into robust, scalable workflows that actually work in real-world environments.

We are hiring an exceptional AI Research Engineer to advance the frontier of agentic AI. This is a deeply technical role for someone who can move fluidly between research, experimentation, and practical product impact.

You will be a core contributor to the AI techniques behind RELAI's platform — a driver of original ideas that shape our product and research direction, and a bridge between frontier AI innovation and real-world deployment.

Responsibilities

- Develop and improve core AI methods, algorithms, and systems across the lifecycle of reliable AI agents.

- Create novel approaches for simulation, evaluation, and optimization of agent behavior in real-world settings.

- Turn ideas into working systems, prototypes, and production-facing capabilities.

- Work closely with product and engineering teams to translate frontier AI innovation into practical customer value.

- Help define RELAI's technical direction in agent reliability, evaluation, and optimization.

How hiring runs

  1. 1Initial Screen
  2. 2Technical Interview
  3. 31:1 with CSO/Founder
  4. 4CEO Interview

Interested in this one?

There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.

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