Junior Full-Stack Engineer (AI Code Evaluation)

Role overview

This opportunity is being shared for a partner company that will handle all applications and follow-up steps. The hiring organization is seeking an early-career Junior Full-Stack Engineer in Germany to work on AI code evaluation.

The role sits at the intersection of full-stack engineering and artificial intelligence. You will help assess and improve AI systems that create and review code, with the goal of making generated output more dependable, structured, and suitable for real-world use. The position involves practical coding work as well as systematic review of AI-generated applications across both frontend and backend layers.

You will partner with AI engineers and researchers in an environment that moves quickly and values experimentation, iteration, and learning. This is a strong growth-oriented role for someone who wants to understand how AI is used to build software and to contribute directly to tools that support developers.

Key responsibilities

• Run, clone, and troubleshoot AI-created frontend and full-stack applications to confirm they work as intended and to pinpoint defects.
• Review the structure, readability, quality, and engineering discipline of generated code.
• Spot inconsistencies in user interface behavior, layouts, and application logic, then record those issues in a clear and organized way.
• Work with engineering teammates to shape and improve evaluation methods and quality standards for code review.
• Help build reusable frontend components and support improvements to internal tools.
• Contribute to small feature updates, visual refinements, and iterative enhancements to existing products.
• Share well-structured feedback that can improve the accuracy and reliability of AI code-generation models.

Skills and experience needed

This role is suited to candidates with basic to moderate professional exposure to frontend or full-stack development. You should be comfortable working with JavaScript or TypeScript, and ideally have experience with React, Node.js, or comparable frameworks.

Applicants should also be able to work with Python and standard modern web technologies, read and debug code across frontend and backend systems, and understand core software engineering principles such as modularity, maintainability, and code quality.

Strong analytical thinking, attention to detail, clear documentation habits, and the ability to collaborate effectively with engineers are essential. Familiarity with databases such as Postgres or Redis and cloud platforms such as AWS would be beneficial. A genuine interest in AI systems, code-generation tools, or software automation is highly valued, along with a proactive and adaptable mindset.

Benefits

• Chance to contribute to advanced AI systems that are influencing the future of software development.
• Practical experience working with AI-generated code evaluation and modern developer tooling.
• A fast-moving setting with strong learning potential and room for career development.
• Close collaboration with experienced engineers and AI researchers.
• Opportunity to make a direct impact on the quality and reliability of AI-assisted development workflows.
• Exposure to current full-stack technologies and scalable cloud-based system design.
• An innovative work culture that encourages initiative and experimentation.
• A chance to strengthen your foundation in both software engineering and AI-driven systems.

Application and data handling notes

Applications are first screened through an AI-supported matching process so that suitable candidates can be reviewed quickly and consistently against the role requirements. The best-fitting profiles are then passed on to the hiring company, which manages the final selection process, including interviews and assessments.

By applying, you acknowledge that the intermediary will process your personal data for candidate evaluation and share relevant details with the employer under applicable data protection rules, including GDPR where relevant. You may exercise rights such as access, correction, deletion, or objection at any time.

Artificial intelligence tools may also assist parts of the recruitment process, including application review, résumé analysis, and response assessment. These tools support the recruitment team but do not replace human decision-making. Final hiring decisions remain with people.