Full Stack Engineer

Job Summary
As a Software Engineer, you will work directly with AI coding models to evaluate their performance, identify weaknesses, debug incorrect outputs, and create stronger alternative solutions. In this role, you will work directly with advanced AI coding assistants such as Claude Code, Codex. Your main responsibility will be to evaluate AI-generated solutions, identify mistakes, uncover reasoning gaps.

Key Responsibilities

• Work with Frontier Labs, producing training data to train Al models.
• Evaluate AI-generated code, technical solutions, and engineering approaches.
• Identify bugs, incorrect assumptions, architectural issues, and weak reasoning in AI responses.
• Test and evaluate agentic coding models designed to perform complex engineering tasks at a senior developer level.
• Compare AI-generated solutions against senior engineering standards and best practices.

Requirements

• 3-4 years of hands-on experience as a Full Stack Developer on commercial projects, including B2B SaaS systems and data-heavy applications.
• Strong proficiency with React.js and Node.js, with experience using Express.js or NestJS to build scalable backend systems that support complex business logic.
• Use AI tools (AI agents, Claude Code, Cursor, Codex or similar) in daily workflow.
• Strong judgment across the full software lifecycle:
  
  • Reading a PRD and breaking it into Jira tickets
  • Estimating effort and scoping work
  • Architecture and design choices
  • Reviewing PRs
  • Debugging and recovering when blocked
• Experience designing and integrating REST APIs.
• Upper-Intermediate English (B2).

Bonus:

• Computer Science or related education.
• Open to learning new programming languages.
• Strong understanding of algorithms and data structures.

This is not a traditional software development role. You will use your engineering expertise to analyze AI outputs, find issues in their solutions, and help train better AI systems.

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