Python Backend Engineer

Our client is supporting the development of advanced AI systems by creating the software environments, workflows, and evaluation data required to train and assess autonomous AI agents.

We are looking for experienced Python Backend Engineers to develop realistic backend applications, SaaS integrations, and complex software tasks. Depending on the assigned track, engineers will either build full-service backend environments and connectors or create and validate long-horizon AI tasks and evaluation criteria. Strong experience with Python, Docker, backend development, and AI coding tools—particularly Claude Code—is essential.

Responsibilities:

• Build Python backend applications that replicate the functionality of established SaaS platforms.
• Develop REST APIs, microservices, integrations, and complete backend workflows.
• Build new SaaS connectors from scratch and adapt existing integrations when required.
• Perform comprehensive backend testing and integration validation.
• Verify that connectors accurately reproduce the behavior of the systems they emulate.
• Analyze software workflows and datasets to identify realistic long-horizon AI tasks.
• Create representative tasks based on real-world tools, processes, and user interactions.
• Conduct structured QA to validate task accuracy, realism, and completeness.
• Write clear evaluation rubrics covering correct, partially correct, and insufficient outcomes.
• Use Claude Code and other AI coding agents throughout development, testing, and validation.

Requirements

• At least 3 years of professional software engineering experience.
• Strong proficiency in Python and backend frameworks such as FastAPI, Flask, or Django.
• Proven experience building backend applications, REST APIs, or microservices.
• Hands-on experience with Docker, Git, and basic software delivery pipelines.
• Strong practical proficiency with Claude or Claude Code.
• Experience using AI coding assistants as part of daily software development.
• Professional written and spoken English.
• Strong knowledge of software testing, version control, and code-quality practices.