Research Engineer
About the role
Greptile is an AI code reviewer that provides complete context of the codebase to catch bugs and anti-patterns in pull requests. The role involves applying state-of-the-art agent and language model techniques to build multi-agent code validation systems and stay at the forefront of AI research relevant to code review.
Responsibilities
- Experiment with and apply the latest advances in agents and language models to push the performance and capabilities of our products
- Design and build the multi-agent systems, harnesses, models, and evals that power code validation
- Example: you might study multi-agent architectures, prototype and evaluate a multi-agent code review workflow, and then work with a team to integrate successful prototypes into production systems
- Stay on top of the latest research across LLMs, information retrieval, and developer tooling
Qualifications
- B.S. in Computer Science or equivalent
- Research experience in math, computer science, or physics
- Strong programming skills and sharp product intuition
- Bonus: research experience with ML, language models, or agents; papers accepted at top ML conferences; your own harnesses and evals for technical applications; experience post-training models; or a research master’s or PhD
Skills

About Greptile
AI code reviewer with complete context of your codebase
Greptile reviews pull requests with full context of the codebase. Top YC companies like PostHog, Raycast, Vouch, Podium, and YC's own internal software team use Greptile to review millions of changes every week. When companies start using Greptile, they catch more bugs and merge PRs 4x faster, on average Greptile can be used via the cloud, or be hosted 100% on your cloud in an air-gapped VPC.
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