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Remote, generic software-engineer title, mid-level experience, metro location, and broad skillset increase applicant competition.
Core backend skills are transferable, but connectors and AI-dataset QA add moderate domain specificity.
Explicit 3+ years plus mandatory Python, Docker, backend frameworks, APIs and microservices makes shortlisting stringent.
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Develop and maintain Python backend applications and connectors emulating popular SaaS tools with full backend functionality and integration.
Conduct thorough testing, validation, data and task mining, creation of realistic tasks, and quality assurance to support AI agent development and evaluation.
Utilize AI coding assistants throughout development, QA, and validation to deliver high-quality work on agreed milestones and collaborate across teams.
Minimum 3 years of overall experience in backend software engineering.
Strong proficiency in Python (including FastAPI, Flask, or Django), Docker, Git, REST APIs, and microservices.
Proficiency in using AI coding assistants like Codex, Claude Code, Cursor, or GitHub Copilot as part of development workflows.
Work location: Kolkata, India; Work mode: Remote; Employment type: Contract (pay per task); LinkedIn profile mandatory.
Experienced backend engineer comfortable building scalable SaaS connectors and integrations for platforms like Slack, Jira, Gmail, etc.
Skilled in applying AI coding tools to improve development and QA processes in AI data and agent evaluation projects.
Capable of independently delivering high-quality backend code and evaluation rubrics, with strong attention to detail and collaboration in distributed teams.