aimlroles

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

Fuku Open · verified Oct 22, 2026
On-site San Francisco Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at Fuku. San Francisco · full-time · no salary stated · we estimate $205,000–$277,500.

Estimated pay

Fuku has not published a salary for this role. The figure below is our estimate, not theirs.

$205,000 – $277,500
What the middle half of senior AI engineering roles in San Francisco paid, among postings that did state a salary.
Worked out from 53 postings that stated pay, median $232,500. Last updated Oct 21, 2026.
RoleAI Engineering
SenioritySenior
LocationSan Francisco
WorkplaceOn-site
EmploymentFull-time
PostedMay 30, 2026 · 4mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Take the code-review prototype from system design through deployment
  • Connect pull-request webhooks so submitted changes can be analyzed
  • Combine language models with static analysis in a review engine, with configurable rules
  • Build a user dashboard and package the tool for Docker-based deployment

What you bring

  • At least five years building full-stack software with Python and React or Node.js and React
  • You have put LLM APIs into production software
  • You have hands-on CI/CD pipeline experience and can work across architecture and deployment

Who this fits

This contract role suits a senior engineer comfortable owning a prototype independently, from architecture to release. The work is fully remote.

From the employer

**Senior Full-Stack Engineer (Freelance/Contract, Remote)**

NexaFlow is developing a proof-of-concept automated code review tool powered by large language models (LLMs). We are seeking a Senior Full-Stack Engineer to design and deliver the prototype end-to-end.

**Key Responsibilities:**
- Own the entire proof-of-concept (PoC) development process, from architecture to deployment.
- Integrate webhooks for pull request (PR) analysis.
- Build a hybrid review engine combining LLMs and static analysis tools.
- Implement custom rule configuration for code reviews.
- Develop a review dashboard for users.
- Ensure Docker-based deployment of the solution.

**Requirements:**
- 5+ years of full-stack development experience with Python (FastAPI) or Node.js and React.
- Proven experience integrating LLM APIs (such as OpenAI GPT-4, Anthropic Claude) into production systems.
- Hands-on experience with CI/CD pipelines, including GitHub Actions or GitLab CI.
- Familiarity with code review tooling.
- Ability to work independently, handling all aspects from system architecture to deployment.
- Experience with static analysis tools (e.g., Semgrep, CodeQL) is a strong plus.

**Engagement Details:**
- Freelance/contract position.
- Fully remote work.
- Competitive rate based on experience.