Software Engineer – Python + Docker

Role Overview

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.

Responsibilities

• Build Python backend applications that replicate existing SaaS tools including implementing integrations and standing up full-service backend functionality.
• Perform thorough backend testing and integration validation to ensure each connector behaves faithfully like the system it emulates.
• Adapt, extend, and build new connectors from scratch within agreed delivery timeframes.
• Conduct data mining and task mining to identify representative workflows for long-horizon task development.
• Author realistic tasks and verify quality, realism, and correctness through structured QA.
• Write clear evaluation rubrics that define correct, partially correct, and deficient work.
• Use AI coding agents proficiently throughout all development, QA, and validation work.
• Participate in onboarding, calibration, and quality-review cycles.

Requirements

• Minimum 3+ years of overall experience.
• Strong proficiency in Python (FastAPI, Flask, or Django).
• Proficiency with Git and Docker.
• Experience building scalable backend applications, REST APIs, and microservices.
• Proficiency in using AI coding assistants (e.g., Codex, Claude Code, Cursor, GitHub Copilot).
• Strong understanding of software engineering best practices, including version control and testing.
• Strong analytical and problem-solving skills.

Nice to Have

• Experience building connectors or integrations for SaaS platforms.
• Knowledge of evaluation frameworks, QA methodologies, and rubric creation for AI datasets.
• Experience developing realistic workflows for long-horizon AI tasks.

Skills

• Python
• FastAPI
• Docker
• Git
• REST APIs

Offer Details

• Engagement type: Contractor - Pay per Task
• Payment: $300/Task
• Commitments: Must complete and get approved minimum of 1 task per day
• Duration: 2-3 weeks