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# Junior Agentic Developer

- **Company:** Mad Devs Ltd
- **Location:** Leeds, UK
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, JavaScript (Programming Language), Artificial Intelligence, Software Bug Management, C++ (Programming Language), Code Generation, Software Quality, Code Review, Continuous Integration, Relational Databases, Cursor, Software Debugging, Linux, Github, Python (Programming Language), PostgreSQL, Open Source Technology, Commercial Software, Software Project Management, Software Systems, TypeScript, GitHub Copilot, Claude Code, AI Coding Agents, Agentic-AI, Gitlab, Git, Code Restructuring, Docker
- **Published:** October 12, 2026
- **Apply:** https://www.totaljobs.com/job/junior-developer/mad-devs-ltd-job108142193

## About the Role

* 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.

## Description

* 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.