Senior Full-Stack Engineer - LLM-Powered Code Review PoC
FUKU+
San Francisco, CA, United States
2 months ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Static Program Analysis
Code Review
Continuous Integration
Github
Python (Programming Language)
Node.Js
Systems Architecture
ReactJS
Large Language Models
Vue.js
Gitlab-ci
GPT
+1 more
Docker
Job description
- Design and implement an LLM-integrated code review system capable of analyzing pull requests, detecting bugs and security vulnerabilities, and providing contextual feedback within CI/CD pipelines.
- Own the entire proof-of-concept (PoC) process, including system architecture, LLM integration, static analysis pipeline, pull request webhook integration, review dashboard, and Docker-based deployment.
- Integrate LLM APIs such as OpenAI GPT-4 or Anthropic Claude into production systems.
- Develop and maintain CI/CD pipelines using tools such as GitHub Actions and GitLab CI.
- Incorporate static analysis tools such as Semgrep or CodeQL into the review workflow.
- Work independently from initial architecture through to deployment.
Requirements
Do you have experience in Tooling?, * 5+ years of full-stack development experience with Python or Node.js and React or Vue.
- Hands-on experience integrating LLM APIs (e.g., OpenAI GPT-4, Anthropic Claude) into production systems.
- Strong background in CI/CD pipeline development, including experience with GitHub Actions, GitLab CI, and code review tooling.
- Experience with static analysis tools such as Semgrep or CodeQL.
- Ability to work independently and take ownership of the entire PoC lifecycle.
- Familiarity with Retrieval-Augmented Generation (RAG) architectures and vector databases is a plus.
About the company
NexaFlow is developing a next-generation automated code review tool powered by large language models (LLMs). We are seeking a Senior Full-Stack Engineer to build a proof-of-concept prototype from end to end.
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