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Lead the development of a proof-of-concept prototype integrating LLM-based analysis into CI/CD workflows for a next-generation code review tool.

Design and implement a full-stack application integrating LLM APIs for automated code review.
Build webhook-based integrations with GitHub/GitLab for automated pull request analysis.
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 for custom per-repository review policies.
Build a dashboard displaying review statistics, trends, and actionable insights.
Containerize the solution with Docker for self-hosted deployment.
Own the full lifecycle from architecture design to deployment and documentation.

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 experience building code review tools, linters, or static analysis systems.
Proficiency in Python (FastAPI) or Node.js for backend, and 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 asynchronous collaboration.
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.

NexaFlow develops a next-generation code review tool powered by large language models.

Senior Full-Stack Engineer - LLM-Powered Code Review PoC at Fuku

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