| Location | San Francisco, California |
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.