Junior python developer Work, Jobs (with Salaries)

Junior Agentic Developer
Mad Devs —Remote
- Remote
- Software troubleshooting
- English
- C++
- Paid training
- Flexible schedule
6d
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- Hybrid work
- Presentation skills
- Mentoring
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- Annual leave
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- Full-time
- In-person
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- Annual leave
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- Full-time
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- English
- Mentoring
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- Annual leave
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- £39,000 - £40,000 a year
- Full-time
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- Azure
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Quick apply
5d
Software Engineer
Everfox —Malvern
- £32,600 - £53,600 a year
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Java Developer
PIMCO —London
- Full-time
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Software Engineer III - AI/ML Data Platforms - AI Engineer - Python
JPMorganChase —London
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- Mentoring
- Software development
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Software Developer II
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Application Developer
LSL Property Services —Kettering
- Full-time
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Software Engineer
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- Azure
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Java Software Engineer
Durlston Partners —London
- £100,000 - £130,000 a year
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Full Stack Engineer (Java or Kotlin or Python) – VP
Citi —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
- Annual leave
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Bloom & Wild —London
- Full-time
- Remote
- AWS
- AI
- Employee discount
4d
Software Engineer (Mid and Senior Levels)
One Big Circle —Bristol
- £36,000 - £70,000 a year
- Full-time
- AWS
- C++
- Machine learning
Quick apply
Lead Developer
London Stock Exchange Group —London
- Full-time
- Oracle
- Java
- Mentoring

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Junior Agentic Developer

Mad Devs -
Remote

Apply Now

Job details

6 days ago

Benefits

Paid training
Flexible schedule

Qualifications

Software troubleshooting
Relational databases
English
C++
Russian
Software quality assurance
CI/CD pipelines
JavaScript
GitHub
Software testing
AI
Software development or architecture experience
TypeScript
GitLab
Python
Debugging

Full job description

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.
#LINKD

JavaScript

AI Tool

Python

C++

What will need to 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. The goal is to improve real software systems and make them healthier, more reliable, and easier to maintain.

Requirements:

6+ months of commercial software development 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, GitLab repository, or another project that demonstrates your work
Working knowledge of Git and pull requests
Basic experience working with 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, etc.
Language Proficiency: English at B2-C1 level, Russian at B2 level.

It will be a plus:

Open-source contributions
Experience with CI/CD pipelines
Deployed public projects
Experience fixing bugs in unfamiliar codebases
Hackathon, bootcamp, or competitive programming achievements
Your own product, startup, automation, or tool that creates measurable value.

How To Apply

In addition to your traditional CV, please send us a short proof-based application. Include links to your GitHub or GitLab projects built with AI agents, along with a brief explanation of what each project does. Describe which AI tools you used, how you used them, which parts of the projects were generated by AI agents, and which parts you personally designed, reviewed, fixed, tested, or improved. If available, also include examples of testing, CI/CD pipelines, deployments, active users, or any real-world usage.

Employees benefits

Flexible working hours

Remote-first culture

Long-term projects

Salary in dollars

Professional communities

Onsite business trips

Training budget

Paid conferences

Hi, I'm Ekaterina.

Applying for jobs should be easy. I am here to simplify the hiring process and set you up for success. Feel free to send me a message via e-mail

[email protected]

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