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

- **Company:** FUKU+
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Static Program Analysis, Software Quality, Code Review, Continuous Integration, Programming Tools, Github, Python (Programming Language), Node.Js, Open Source Technology, Rule Engine, Systems Integration, ReactJS, Retrieval-Augmented Generation, Large Language Models, Backend, Gitlab, Fastapi, Vue.js, Containerization, Gitlab-ci, Front End Software Development, GPT, Docker
- **Published:** June 1, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dd04755b04d7d0fe

## About the Role

Do you have experience in Tooling?, * 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.

## 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., * 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.


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