Junior Agentic Developer

Mad Devs is looking for a Junior Agentic Developer to help improve the technical health of internal engineering projects using AI-powered development workflows and our internal platform, Enji Guard. What you will do: - Work on internal Mad Devs projects and engineering tools. - Investigate engineering issues identified by Enji Guard. - Analyze unfamiliar codebases and understand existing technical constraints. - Use AI coding agents to implement improvements. - Review, test, refactor, and debug AI-generated code. - Improve code quality, reliability, maintainability, documentation, testing, CI/CD, and production readiness. - Prepare and merge pull requests. - Collaborate with mentors and engineering teams through code reviews, technical discussions, and feedback sessions. The goal is not simply to generate code with AI. It is to improve real software systems and make them more reliable, maintainable, and easier to work with. Requirements: - 6+ months of commercial software development experience or equivalent hands-on experience demonstrated through personal, freelance, academic, or open-source projects. - Experience using AI coding agents (such as Codex, Claude Code, Cursor, GitHub Copilot, or similar tools) in at least one substantial software project. - Experience with at least one of the following programming languages: Python, JavaScript/TypeScript, or C++. - A GitHub or GitLab repository, or another project that demonstrates your work. - Working knowledge of Git and pull requests. - Basic knowledge of Linux, Docker, and relational databases such as PostgreSQL. - Familiarity with software quality practices, including testing, debugging, refactoring, and writing maintainable code. - Basic understanding of CI/CD concepts and modern software development workflows. - The ability to clearly explain what the AI generated, what decisions you made, and why. - Language Proficiency: English at B2-C1 level, Russian at B2 level. Additional experience we value: - Contributions to open-source projects. - Hands-on work with CI/CD pipelines. - Public project deployments. - Bug fixing in unfamiliar codebases. - Hackathon, bootcamp, or competitive programming achievements. - A product, startup, automation, or tool of your own that delivers measurable value. How to apply Along with your CV, please send us a brief, evidence-based application demonstrating how you work with AI-assisted development. Share links to relevant GitHub or GitLab projects and briefly explain what you built, which AI tools you used, and how you used them. We’d also like to understand what was generated by AI and what you personally designed, reviewed, fixed, tested, or improved. If available, mention testing, CI/CD, deployments, active users, or other real-world usage.