Senior Python Engineer - AI Testing Project (Freelance, Mindrift)

Mindrift

Barcelona

Presencial

EUR 34.908

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Freelance project-based collaboration
Fully remote and flexible participation
Task-based compensation up to $30/hour
Opportunity to work on innovative AI projects
Supportive global community

Descripción de la vacante

A specialized AI opportunity platform is seeking a Senior Python Developer to create functional tests and manage Docker environments. Ideal candidates should have over five years of software engineering experience, with expertise in Python and deep functional testing skills. The role offers remote, flexible participation at a competitive rate based on performance. Join a supportive global community while working on innovative projects for leading tech companies.

Formación

  • 5+ years of experience as a Software Engineer, primarily using Python.
  • Deep experience with pytest and creating black-box functional tests.
  • Expert-level Docker skills for reproducible builds.

Responsabilidades

  • Create functional tests for large codebases in multiple languages.
  • Manage Docker environments for reproducible builds.
  • Monitor code coverage and configure scoring criteria.

Conocimientos

Python
Docker
Linux
Bash scripting
Functional testing
LLMs usage
English (B2 or higher)

Herramientas

pytest
Git
Docker tools
C/C++/Rust/Go (reading)

Descripción del empleo

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

Participation is project-based, not permanent employment.

About The Role

This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development.

Key Responsibilities
  • Create functional black box tests for large codebases in various source languages
  • Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms
  • Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards
  • Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality
Requirements
  • 5+ years of experience as a Software Engineer (primarily Python)
  • Deep experience with pytest (fixtures, session-scoped, timeouts) and designing black‑box functional tests for CLI tools
  • Expert‑level Docker skills (reproducible Dockerfiles, user contexts, secure workspaces)
  • Strong Linux & Bash scripting skills and comfort debugging inside containers
  • Proficiency with modern Python tooling (uv, pyproject.toml, packaging)
  • Ability to read and understand with LLM many coding languages (for example C, C++, Rust, or Go)
  • Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate iterative development and test‑case generation
  • English language - B2 or higher
Additional Requirements
  • Prior experience with agent evaluation platforms and MCP CLI
Tools and Technologies

Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov.

Benefits

What we can offer

  • Freelance project‑based collaboration via the Mindrift platform (powered by Toloka AI)
  • Fully remote and flexible participation — choose when and how much to contribute (20–30 hours per week)
  • Task‑based compensation, equivalent to up to $30/hour* depending on performance and volume
  • Opportunity to contribute to innovative AI projects for leading tech companies
  • Supportive global community
  • Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non‑core project phases. Payment details are shared per project
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