AI Research Engineer

19 days ago

Base Salary

$180k - $300k/yr

Responsibilities

Build and scale research infrastructure including experiment harnesses, evaluation pipelines, and trajectory tooling.
Productionize promising research prototypes by making them fast, reliable, and scalable.
Partner with researchers to frame hypotheses, select measurements, and design reliable experiments.
Collaborate with AI engineers, infrastructure teams, and product leads to bring research into production.
Track developments in LLMs, agent architectures, and evaluation methodology.
Prototype and evaluate prompting strategies, reasoning workflows, and tool-use policies for production agents.

5+ years of software engineering experience focused on backend development and scaled systems.
Hands-on experience running experiments, evaluating results, and iterating on them, including through side projects or personal work.
Ability to lead in fast-paced startup environments with limited resources and minimal structure.
Strong experience with Python and web frameworks such as FastAPI.
Experience deploying applications on AWS and working with ECS or Kubernetes, Postgres, and S3.
Familiarity with observability and monitoring tools.
Research engineering experience, experience embedded in a research team, agentic AI systems, large-scale data-driven applications, AI or LLM-powered products, or evaluation and benchmarking tooling are preferred.

U.S. base salary range of $180,000–$300,000 plus startup equity, health insurance, fertility benefits, a technology setup stipend, and flexible time off.
Additional perks include in-office snacks, team happy hours and outings, an annual company offsite, and built-in collaboration time.
Full-time, fully in-office role five days per week in New York near Madison Square Park.

51-200 employees