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
João Silva
Indeed · HR
João Silva
Indeed · HR
