Software Engineer - Python + Docker

About The Role
Vraify is seeking experienced software engineers for a short-term remote initiative focused on realistic backend systems, integrations, and long-horizon AI tasks. You will build production-minded Python services, test connector behavior, and help create reliable technical evaluation workflows.
This is an independent contractor role paid per approved task. The project is expected to run for 2-3 weeks, with the possibility of extension based on project needs. Contributors should be able to complete and receive approval for at least one task per day.
What you'll do
Build Python backend applications that replicate SaaS tools such as Slack, Linear, Jira, Notion, Gmail, and wikis.
Implement complete backend functionality, integrations, REST APIs, and connector workflows.
Test backends and integrations to ensure connectors behave accurately and reliably.
Extend existing connectors or build new connectors from scratch.
Mine data and workflows to identify representative long-horizon tasks.
Write realistic technical tasks and clear evaluation rubrics.
Verify task and data quality through structured quality assurance.
Use AI coding agents throughout development, testing, and validation.
Participate in onboarding, calibration, and quality-review cycles.
What we look for
At least 3 years of professional software engineering experience.
Strong Python backend development skills using FastAPI, Flask, or Django.
Experience with Git, Docker, REST APIs, microservices, and basic software delivery pipelines.
Daily proficiency with AI coding assistants such as Codex, Claude Code, Cursor, GitHub Copilot, or similar tools.
A strong grasp of testing, version control, code quality, and software engineering best practices.
Strong analytical, problem-solving, and communication skills.
Ability to work independently and collaborate effectively with distributed teams.
A LinkedIn profile included in your resume.
Nice to have
Experience building SaaS connectors or integrations.
Knowledge of evaluation frameworks, quality-assurance methods, or rubric creation for AI datasets.
Experience developing realistic workflows for long-horizon AI tasks.
Experience with Claude or Claude Code.

Work arrangement
Yes