Junior Full-Stack Engineer (AI Code Evaluation)

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.

Requirements

• 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.

Benefits

• 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.

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