Freelance API Integration Developer for AI Project
MindriftRemote — Glasgow, Scotland, United Kingdom
Remote Contract $60/hr - $60/hr
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Experience Level
Experience
Qualifications
Qualifications:Minimum of 2-3 years of hands-on experience in API integration, automation, backend systems, or software development. A Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or a related technical field is preferred. Demonstrated proficiency with REST APIs, webhooks, and data exchange formats such as JSON. Strong ability to design and manage integrations across various SaaS tools and business systems. Experience in synchronizing databases across platforms like Airtable, Google Sheets, and Notion.
About the job
Join Mindrift as a talented API Integration Developer focused on our innovative Tendem project (https://tendem.ai/). In this role, referred to as an AI Pilot, you will work within a dynamic hybrid AI and human environment, ensuring seamless system integrations.
Your expertise will enhance the capabilities of Tendem Agents who perform repetitive tasks, while you apply structured thinking and quality control to maintain consistent and scalable data connectivity across various platforms. This part-time, remote opportunity is perfect for professionals who have practical experience with APIs, webhooks, and multi-system data pipelines.
About Mindrift
At Mindrift, we connect specialists with cutting-edge AI projects from leading tech innovators. Our mission is to harness the power of Generative AI by leveraging real-world expertise from around the globe, unlocking new potentials and driving innovation.
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Please submit your CV in English and specify your English proficiency level. This is a remote, project-based position for candidates located in Glasgow, Scotland, United Kingdom. The role is not a permanent hire. Mindrift, supported by Toloka AI, connects experienced professionals with project-based roles in artificial intelligence. The team collaborates with top technology companies to test and refine AI systems. Role overview The Senior Python Systems Developer will focus on functional testing for a large-scale project. This position requires deep expertise in Python, strong command of Linux environments, and advanced Docker skills. The work involves handling codebases in multiple programming languages and using tools such as Roo Code or Claude Code for rapid, iterative development. What you will do Develop and implement functional black-box tests for complex codebases across several languages. Design and manage Docker environments to ensure reproducible builds and consistent test execution. Track code coverage and set up automated scoring systems to meet industry standards. Utilize large language models (LLMs) like Roo Code and Claude to automate tasks, streamline development, and improve code quality. Requirements Minimum 5 years of experience as a Software Engineer, with a primary focus on Python. Extensive background with pytest, including fixtures, session-scoped testing, and timeouts. Experience in black-box functional testing of CLI tools. Advanced knowledge of Docker, including writing reproducible Dockerfiles, managing user contexts, and securing workspaces. Proficient in Linux and Bash scripting, with the ability to debug inside containers. Familiarity with modern Python tooling (uv, pyproject.toml, packaging). Comfortable reading and understanding code in C, C++, Rust, or Go, with assistance from LLMs. Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate development and generate test cases. English proficiency at B2 level or above. Preferred qualifications Experience with agent evaluation platforms or MCP CLI. Tools and technologies Main stack: 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 Freelance, project-based work through the Mindrift platform (supported by Toloka AI). Fully remote and flexible: set your own hours (20-30 hours per week). Competitive compensation: AI trainers on this project can earn up to $50 per hour.
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