# Senior Full-Stack Engineer - LLM-Powered Code Review PoC

**Company:** [Fuku](http://jobs.workable.com/companies/cVzy4Zi49yLx9EZznjyX2v.md)
**Location:** San Francisco, United States
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/9429484e-ae97-4969-bf93-b1a86164fc77)

## Description

NexaFlow is building a next-generation code review tool powered by large language models. We are seeking a Senior Full-Stack Engineer to lead the development of a proof-of-concept prototype that integrates LLM-based analysis into existing CI/CD workflows.  
  
Responsibilities:  
\- Design and implement a full-stack application that integrates LLM APIs (OpenAI/Anthropic) for automated code review.  
\- Build webhook-based integrations with GitHub/GitLab to automatically analyze pull requests.  
\- Develop a hybrid analysis pipeline combining LLM reasoning with static analysis for bug detection, security vulnerability identification, and code quality enforcement.  
\- Create a configurable rule engine allowing per-repository custom review policies.  
\- Build a dashboard displaying review statistics, trends, and actionable insights.  
\- Containerize the entire solution with Docker for easy self-hosted deployment.  
\- Own the full lifecycle from architecture design through deployment and documentation.  
  
Requirements:  
\- 5+ years of professional full-stack development experience.  
\- Strong experience integrating LLM APIs (OpenAI GPT-4, Anthropic Claude) into production systems.  
\- Hands-on experience with CI/CD pipeline integration (GitHub Actions, GitLab CI).  
\- Prior work building code review tools, linters, or static analysis systems.  
\- Proficiency in Python (FastAPI) or Node.js for backend; React or Vue for frontend.  
\- Experience with Docker containerization and self-hosted deployment.  
\- Ability to work independently across the full stack from architecture to deployment.  
\- Strong communication skills for async collaboration.  
  
Nice to Have:  
\- Experience with RAG (Retrieval-Augmented Generation) architectures.  
\- Familiarity with CodeQL, Semgrep, or similar static analysis tools.  
\- Previous startup or PoC-stage project experience.  
\- Contributions to open-source developer tools.  
  
Additional Information:  
\- This is a contract/consulting engagement, not a full-time employee role.  
\- We value flexibility and outcome-driven collaboration.  
\- Remote-friendly with a preference for candidates in the San Francisco Bay Area.