Job Summary As a Software Engineer, you will work directly with AI coding models to identify weaknesses, debug incorrect outputs, and create stronger alternative solutions. Your main responsibility will be to evaluate AI-generated solutions, identify mistakes, uncover reasoning gaps.

Key Responsibilities Analyze code and engineering solutions produced by AI systems, evaluating their technical quality. Test and evaluate agentic coding models designed to perform complex engineering tasks at a senior developer level. Identify bugs, incorrect assumptions, architectural issues, and weak reasoning in AI responses. Work with Frontier Labs, producing training data to train Al models. Test and assess agentic coding models built to handle complex engineering tasks.

Requirements 3-4 years of commercial Full Stack development experience, ideally involving B2B SaaS products and applications that process large amounts of data. Regular use of AI-powered development tools, such as Claude Code, Cursor, Codex, AI agents or similar. Engineering Mindset. 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

Confident working knowledge of React.js, Node.js, and either Express.js or NestJS, including backend development for systems with complex business requirements. Experience designing and integrating REST APIs. Upper-Intermediate English (B2).

Bonus Computer Science or a related field. Familiarity with Python development. Strong understanding of algorithms and data structures.

Why Join? If you want to use your engineering expertise in a fast-growing AI field, this role is a strong opportunity to contribute to the future of AI-assisted development. You will be part of building better AI systems by helping improve the quality, accuracy, and reliability of the answers they provide.