Role: Python Backend Developer
Experience: 3+ Years
Work Mode: Remote (Freelancing)
Job Description:
About the Role
We are staffing a frontier AI data initiative that requires strong software engineers to build the infrastructure and training data used to develop and evaluate AI agents.
Key Responsibilities:
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The Engineer will, depending on assigned track: build Python backend applications that replicate existing SaaS tools (such as Slack, Linear, Jira, Notion, Gmail, and wikis), including implementing integrations and standing up full-service backend functionality;
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Perform thorough backend testing and integration validation to ensure each connector behaves faithfully like the system it emulates;
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Adapt and extend previously built connectors as needed, and test existing connectors internally before they are treated as complete; Build new connectors from scratch where required, within agreed delivery timeframes;
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Conduct data mining and task mining to identify representative workflows suitable for long-horizon task development; Author realistic tasks derived from mined data and workflows;
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Verify task and data quality, realism, and correctness through structured QA; Write clear evaluation rubrics that define correct, partially correct, and deficient work;
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Use AI coding agents proficiently throughout all development, QA, and validation work; collaborate across the connectors and tasks tracks,
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Participate in onboarding, calibration, and quality-review cycles; deliver assigned work to the expected quality bar and on agreed milestones.
Must Have Required Skills:
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Minimum 3+ years of overall experience
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Strong proficiency in Python (FastAPI, Flask, or Django)with proven experience in backend software development.
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Proficiency with Git, Docker, and basic software pipeline setup.
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Experience building scalable backend applications, REST APIs, and microservices.
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Proficiency in using AI coding assistants (e.g., Codex, Claude Code, Cursor, GitHub Copilot, or similar) as part of daily development workflows.
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Strong understanding of software engineering best practices, including version control, testing, and code quality.
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Strong analytical and problem-solving skills with attention to detail.
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Ability to work independently while collaborating effectively within distributed engineering teams.
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Excellent written and verbal communication skills.
Nice to have:
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Experience building connectors or integrations for SaaS platforms.
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Knowledge of evaluation frameworks, QA methodologies, and rubric creation for AI datasets.
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Experience developing realistic workflows for long-horizon AI tasks.
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