Python Backend AI Agent Engineer

You will build backend applications in Python that recreate realistic enterprise tools and workflows. These environments let AI agents use tools, work with data, and complete multi-step tasks.

You will also create and test the training and evaluation work used to measure agent performance. This includes using AI coding tools during development, testing, debugging, and quality checks.

• Build Python backends that replicate tools such as Slack, Linear, Jira, Notion, Gmail, wikis, and similar enterprise applications.
• Create realistic digital work environments where AI agents can interact with tools, data, and workflows.
• Write multi-step agent tasks and clear evaluation rubrics.
• Test tasks from start to finish, find unclear instructions and edge cases, reproduce failures, and debug them.
• Give other engineers practical feedback that helps improve the work.

What it pays and takes

This is a remote contractor assignment lasting five weeks. Compensation is not disclosed in the role information.

• Expected commitment: At least 40 hours per week, including six hours of overlap with Pacific Time.
• Structured role data lists a time requirement of 20+ hours per week.
• Location: Applicants must be based in India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, or Mexico.
• Language: English proficiency is required for the work.
• Core skills: Strong backend software engineering experience, mainly in Python, including building, testing, debugging, and maintaining applications.
• Required technical knowledge: GCP, Docker, virtual machines, and Harbor.
• Required working style: Strong engineering judgment, clear written communication, independence across unfamiliar codebases, and the ability to turn real workflows into precise implementations and evaluation criteria.
• Required tools: Daily proficiency with AI coding tools such as Claude Code, Cursor, Copilot, or similar tools.
• Helpful experience: Building or evaluating AI agents, LLM applications, agentic systems, backend SaaS integrations, or multi-step workflows using tool or function calling.
• Also helpful: Understanding Slack, Linear, Jira, Notion, Gmail, or wikis at the API or data-model level.
• Engagement type: Contractor and part-time.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training work is the human work behind systems that learn to use tools, follow instructions, and produce useful answers. Engineers and evaluators build examples, tasks, and checks that show whether an AI agent is working correctly, which is why strong technical experience matters.