Fuku

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

🇺🇸 San Francisco, États-Unis Sur site IT Temps plein Senior Publié Mai 30, 2026
Lieu San Francisco, États-Unis
Mode de travail Sur site
Contrat Temps plein
Seniorité Senior
Catégorie IT
Catégorie IT Ingénieur Full Stack
Langue English
Publié 30 mai 2026
Dernière vérification 31 mai 2026
Contexte JobGrid

Résumé du poste par JobGrid

Senior Full-Stack Engineer - LLM-Powered Code Review PoC at Fuku: San Francisco, États-Unis; Sur site; Temps plein; Senior; IT. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: San Francisco, États-Unis, Sur site
  • Role classification: IT, Ingénieur Full Stack, Temps plein, Senior
  • Source freshness: checked by JobGrid on 2026-05-31.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

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.