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

FUKU+
San Francisco, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Francisco, United States of America

Tech stack

Static Program Analysis
Software Quality
Code Review
Continuous Integration
Programming Tools
Github
Python
Node.js
Open Source Technology
Rule Engine
Systems Integration
React
Retrieval-Augmented Generation
Large Language Models
Backend
Gitlab
FastAPI
Vue.js
Containerization
Gitlab-ci
Front End Software Development
GPT
Docker

Job description

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., * 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

Do you have experience in Tooling?, * 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.

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