Senior Full-Stack Engineer - LLM-Powered Code Review PoC
Hybrid · San Francisco, California, United States
Job Summary
Senior Full-Stack Engineer to lead a PoC project for an LLM-powered code review tool. Responsibilities include designing and implementing a full-stack application that integrates LLM APIs (OpenAI/Anthropic) for automated code review, building webhook-based integrations with GitHub/GitLab to analyze pull requests, developing a hybrid analysis pipeline combining LLM reasoning with static analysis for bug detection, security vulnerabilities, and code quality enforcement, creating a configurable rule engine for per-repository review policies, building a dashboard for review statistics and insights, containerizing the entire solution with Docker for self-hosted deployment, and owning the full lifecycle from architecture to deployment and documentation. Requirements include 5+ years of experience, strong LLM API integration, CI/CD experience, code review/static analysis tool experience, backend in Python (FastAPI) or Node.js and frontend in React/Vue, Docker/self-hosted deployment, independent work capability, and strong async communication. Nice to Have items include experience with RAG architectures, familiarity with CodeQL/Semgrep, startup or PoC project experience, and contributions to open-source developer tools.
Required Qualifications
- 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
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