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Remote role, generalist Software Engineer title, mid-level experience, and known brand increase applicant competition.
Core Python backend skills transferable, but SaaS connector and AI-evaluation specifics moderately constrain fit.
Explicit 3+ years requirement plus mandatory Python, frameworks, Docker, and API experience.
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Develop and maintain Python backend applications that replicate and integrate SaaS tools, ensuring full backend functionality and faithful connector behavior.
Conduct data and task mining to author realistic AI training tasks and define quality evaluation rubrics for validation.
Deliver assigned work with quality and on schedule, using AI coding assistants and collaborating across teams for onboarding and quality-review cycles.
Minimum 3+ years of software engineering experience.
Strong proficiency in Python backend development frameworks (FastAPI, Flask, or Django).
Experience with Git, Docker, REST APIs, microservices, and software pipeline setup.
Proficiency in using AI coding assistants as part of the development workflow.
Hands-on developer who can independently build and test scalable backend connectors for SaaS integrations.
Experienced in using AI tools to augment coding and validation tasks within a fast-paced, short-duration contract environment.
Detail-oriented engineer capable of creating and applying QA rubrics for AI task and data evaluation.