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

FUKU AI - Legacy System Migration & AI Services — San Francisco, California, United States

Apply on employer website
NexaFlow is building a nextgeneration code review tool powered by large language models We are seeking a Senior FullStack Engineer to lead the development of a proofofconcept prototype that integrates LLMbased analysis into existing CICD workflowsResponsibilities Design and implement a fullstack application that integrates LLM APIs OpenAIAnthropic for automated code review Build webhookbased integrations with GitHubGitLab 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 perrepository custom review policies Build a dashboard displaying review statistics trends and actionable insights Containerize the entire solution with Docker for easy selfhosted deployment Own the full lifecycle from architecture design through deployment and documentationRequirements 5 years of professional fullstack development experience Strong experience integrating LLM APIs OpenAI GPT4 Anthropic Claude into production systems Handson experience with CICD pipeline integration GitHub Actions GitLab CI Prior work building code review tools linters or static analysis systems Proficiency in Python FastAPI or Nodejs for backend React or Vue for frontend Experience with Docker containerization and selfhosted deployment Ability to work independently across the full stack from architecture to deployment Strong communication skills for async collaborationNice to Have Experience with RAG RetrievalAugmented Generation architectures Familiarity with CodeQL Semgrep or similar static analysis tools Previous startup or PoCstage project experience Contributions to opensource developer toolsAdditional Information This is a contractconsulting engagement not a fulltime employee role We value flexibility and outcomedriven collaboration Remotefriendly with a preference for candidates in the San Francisco Bay Area




Looking for a job?

Visit Careersaas to find millions of new and unfilled roles, including thousands of remote and hybrid positions.