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.