AI Research Engineer

New
G
GauntletAI, DeFi
Remote first — work from anywhere in the United StatesFull-Time
Salary not disclosed
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Job Details

Experience
We expect strong candidates to have experience working in a professional engineering or research environment, but we're more interested in what you've built and how you approach problems than a specific number of years on your CV.
Required Skills
PythonMachine LearningContent managementData science

Requirements

  • Have hands-on experience building, evaluating or improving LLM models or agents through professional work, applied research, open-source contributions or substantial personal projects.
  • Have strong Python skills and good software engineering fundamentals.
  • Be comfortable writing production-quality code and understand testing, maintainability and reliability.
  • Have experience with applied research, machine learning or data science, including designing experiments and working with datasets.
  • Understand how LLM agents work beyond prompting, including tool use, harnesses, context management and common failure modes.
  • Be able to break open-ended problems into testable questions and work independently.
  • Have experience building tools or systems used by others and evaluating their effectiveness beyond technical benchmarks.
  • Be comfortable working across research and engineering and collaborating with different teams.

Responsibilities

  • Build evaluation frameworks for AI agents, including datasets, sandbox environments and metrics for real-world tasks.
  • Design experiments to compare models, agent harnesses, tools and execution environments, and identify regressions and trade-offs.
  • Turn qualitative feedback about agent behavior into research questions, experiments and measurable outcomes.
  • Investigate agent failures and develop ways to improve performance.
  • Build and improve agent harnesses, internal tools and integrations, including Aria and other business agents.
  • Develop shared knowledge and reusable skills across agents.
  • Work with Infrastructure and Security to help agents operate reliably and safely in production.
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