Software Engineer – Python + Docker

T Software Engineer – Python + Docker Turing Engineering & Technology Today New Rest of Nigeria (Nationwide) Confidential Share link Share on WhatsApp Share on LinkedIn Share on Facebook Share on Twitter Share via SMS Language Requirement: English Working Hours: 8 to 5 Job descriptions & requirements 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: • 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. • Perform thorough backend testing and integration validation to ensure each connector behaves faithfully like the system it emulates. • 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. • 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. • Verify task and data 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; collaborate across the connectors and tasks tracks. • Participate in onboarding, calibration, and quality-review cycles; deliver assigned work to the expected quality bar and on agreed milestones. Must Have Required Skills: • Minimum 3+ years of overall experience. • Strong proficiency in Python (FastAPI, Flask, or Django)with proven experience in backend software development. • Proficiency with Git, Docker, and basic software pipeline setup. • Experience building scalable backend applications, REST APIs, and microservices. • Proficiency in using AI coding assistants (e.g., Codex, Claude Code, Cursor, GitHub Copilot, or similar) as part of daily development workflows. • Strong understanding of software engineering best practices, including version control, testing, and code quality. • Strong analytical and problem-solving skills with attention to detail. • Ability to work independently while collaborating effectively within distributed engineering teams. • Excellent written and verbal communication 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. Offer details: • Commitments required: Must complete and get approved minimum of 1 task per day . • Payment: $300/Task • Engagement type: Contractor - Pay per Task • Duration of contract: 2-3 weeks and start date ASAP