Full-Stack Engineer (AI Code Evaluation)

This is a unique opportunity for an early-career engineer to work at the intersection of full-stack development and artificial intelligence. In this role, you will contribute to improving AI systems that generate and evaluate code, helping ensure that AI outputs are reliable, well-structured, and production-ready. You will work closely with AI engineers and researchers in a fast-moving, experimental environment where learning and iteration are central. The role combines hands-on coding with analytical evaluation of AI-generated applications across frontend and backend systems. You will gain deep exposure to modern AI development workflows, debugging practices, and software evaluation methodologies. Ideal for someone curious about how AI builds software, this position offers strong technical growth and direct impact on next-generation developer tools. Accountabilities Clone, run, and debug AI-generated full-stack and frontend applications to validate functionality and identify issues. Evaluate code quality, structure, readability, and adherence to design and engineering standards. Identify UI, layout, and logic inconsistencies in AI-generated outputs and document findings clearly and systematically. Collaborate with engineers to define, refine, and improve code evaluation frameworks and quality benchmarks. Support the development of reusable frontend components and contribute to internal tooling improvements. Assist with small feature implementations, UI adjustments, and iterative improvements to existing systems. Provide structured feedback that helps improve the performance and reliability of AI code generation models.

Basic to some professional experience in full-stack or frontend development. Strong understanding of JavaScript/TypeScript and familiarity with React, Node.js, or similar frameworks. Comfortable working with Python and modern web development technologies. Ability to read, run, and debug codebases across frontend and backend systems. Understanding of software engineering principles such as code quality, modularity, and maintainability. Strong analytical mindset with attention to detail and ability to evaluate technical outputs critically. Good communication skills with the ability to document issues clearly and collaborate with engineering teams. Familiarity with databases (e.g., Postgres, Redis) and cloud environments (e.g., AWS) is a plus. Curiosity about AI systems, code generation models, or software automation tools is highly valued. Proactive attitude, willingness to learn, and comfort working in a fast-paced, experimental environment.

Opportunity to work on cutting-edge AI systems shaping the future of software development. Hands-on exposure to AI-generated code evaluation and next-generation developer tools. Fast-paced environment with strong learning and career growth potential. Collaboration with experienced engineers and AI researchers. Direct impact on improving the quality and reliability of AI-powered development workflows. Exposure to modern full-stack technologies and scalable cloud-based architectures. Flexible and innovative work environment encouraging experimentation and initiative. Opportunity to build strong foundations in both software engineering and AI systems. How Jobgether works