AI Agent Engineer Intern

Responsibilities

You will explore open-ended agentic AI problems and convert promising ideas into working prototypes, experiments, research artifacts, or product capabilities. You may build applied agents, design evaluations, create harnesses, experiment with planning and memory architectures, analyze failures, document findings, and collaborate with research, engineering, and product teams.

The expected outcome may be a production-grade applied component, a research contribution, a paper, a benchmark, an internal tool, or a product prototype.

Requirements

We are looking for candidates with strong programming skills, preferably in Python, hands-on experience with LLMs or AI systems, and a strong interest in agents, evaluation, alignment, interpretability, or enterprise AI.

You should be comfortable working on ambiguous problems, building prototypes quickly, reading papers or technical material, documenting findings clearly, and independently identifying high-value directions.

Bonus signals include experience with agent frameworks, long-horizon agents, evaluation pipelines, research projects, open-source tools, backend systems, enterprise data, or AI safety and interpretability.

Our Culture

We move quickly and value substance over polish. This internship is for people who want to work near the frontier of agentic AI, bring original ideas, build seriously, test honestly, and create work that matters.