AI Research Engineer

About the Role

We’re looking for an exceptional AI Research Engineer to help advance the frontier of reliable AI agents in production.

This is a deeply technical, hands-on role at the intersection of applied AI research and engineering. You’ll work on the core learning algorithms behind AI agent evaluation, optimization, robustness, and continual improvement — taking ideas from research and experimentation all the way into production-facing systems.

This is an ideal opportunity for someone who understands AI agents deeply and wants significant ownership in an early-stage environment.

What You’ll Do

* Develop and improve AI methods and algorithms for reliable AI agents.

* Design approaches for agent simulation, evaluation, optimization, and continual learning.

* Build systems for systematically measuring and improving agent behavior.

* Move through the complete research/engineering loop: design → implement → experiment → evaluate → improve → repeat.

* Experiment across datasets, benchmarks, and real-world agent environments.

* Turn research ideas into working prototypes and production capabilities.

* Collaborate closely with AI, engineering, and product leadership.

* Contribute original ideas and challenge existing technical approaches.

Requirements

Strong hands-on expertise with AI Agents / Agentic AI.

* Demonstrated experience evaluating, improving, or optimizing AI agent behavior.

* Strong Python, AI/ML, and LLM experience.

* Applied AI research or product-oriented research experience.

* Ability to turn research and experiments into working systems.

* Experience in an early-stage startup, small technical team, early AI/ML team, or first-ML-hire environment.

* Comfortable operating with significant technical ownership and autonomy.

Benefits

Fully remote within the U.S. or Canada, approximately 1% equity with meaningful early-stage upside, visa transfer support including eligible OPT and H-1B transfers, significant ownership as an early AI research hire, direct collaboration with experienced AI researchers, engineers, and founders, opportunity to work on frontier AI agent evaluation, optimization, and continual learning, high-impact work on real-world enterprise applications, and the opportunity to directly influence the company’s AI research and technical direction.