Research Engineer - Multi-Agent AI for Code Review

Greptile

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. We serve hundreds of customers with scalable AI tooling and offer intellectually challenging problems every day.

We’re hiring a researcher/engineer to design multi-agent systems, prototype code-review workflows, and push the frontier in LLMs, IR, and developer tooling. You’ll work with a small, highly capable team in a fast-growing environment.

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 or related harnesses/evals.

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: study multi-agent architectures, prototype and evaluate a multi-agent code review workflow, and integrate successful prototypes into production systems.
  • Stay on top of the latest research across LLMs, information retrieval, and developer tooling

Skills

Strong programming
Research experience
ML / LLM / agents knowledge
Product intuition

Education

B.S. in Computer Science or equivalent

Job description

Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. We serve hundreds of customers with scalable AI tooling and offer intellectually challenging problems every day.

We’re hiring a researcher/engineer to design multi-agent systems, prototype code-review workflows, and push the frontier in LLMs, IR, and developer tooling. You’ll work with a small, highly capable team in a fast-growing environment.

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