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.

• 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.

• 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.
• English at B2-C1 level, Russian at B2 level.
• Будет плюсом: 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

• Flexible working hours
• Remote-first culture
• Long-term projects
• Salary in dollars
• Professional communities
• Onsite business trips
• Training budget
• Paid conferences