Please mention DailyRemote when applying
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.
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