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About the Role

This role involves building a proof-of-concept prototype from end to end for a next-generation automated code review tool powered by large language models.

Responsibilities

• Design and implement an LLM-integrated code review system.
• Analyze pull requests, detect bugs and security vulnerabilities, and provide contextual feedback within CI/CD pipelines.
• Own the entire proof-of-concept (PoC) process.
• Manage system architecture, LLM integration, static analysis pipeline, pull request webhook integration, review dashboard, and Docker-based deployment.
• Integrate LLM APIs (e.g., OpenAI GPT-4, Anthropic Claude) into production systems.
• Develop and maintain CI/CD pipelines using GitHub Actions and GitLab CI.
• Incorporate static analysis tools (e.g., Semgrep, CodeQL) into the review workflow.
• Work independently from initial architecture through to deployment.

Requirements

• 5+ years of full-stack development experience with Python or Node.js and React or Vue.
• Hands-on experience integrating LLM APIs (e.g., OpenAI GPT-4, Anthropic Claude) into production systems.
• Strong background in CI/CD pipeline development.
• Experience with GitHub Actions, GitLab CI, and code review tooling.
• Experience with static analysis tools (e.g., Semgrep, CodeQL).
• Ability to work independently and take ownership of the entire PoC lifecycle.
• Familiarity with Retrieval-Augmented Generation (RAG) architectures and vector databases (plus).

Skills

• Full-stack development
• Python
• Node.js
• React
• Vue
• LLM integration
• OpenAI GPT-4
• Anthropic Claude
• CI/CD pipeline development
• GitHub Actions
• GitLab CI
• Code review tooling
• Static analysis tools
• Semgrep
• CodeQL
• System architecture
• Docker-based deployment
• Retrieval-Augmented Generation (RAG) architectures
• Vector databases

Location

• San Francisco
• Remote-friendly

Work Type

• Contract

Experience Level

• 5+ years of full-stack development experience

About the Company

• NexaFlow is developing a next-generation automated code review tool powered by large language models (LLMs).