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Mid-level fullstack role in metro with recognizable brand and generalist skills, attracting many applicants.
Core full-stack and Python skills transfer across industries, though ad/LLM experience is advantageous.
Explicit 5–8 years and mandatory Python/React/API/cloud skills increase screening rigor.
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Develop and maintain full-stack data products including Python APIs and React/Tailwind front ends to enable AI capabilities in user-facing applications.
Ensure code quality through writing unit, integration, and data validation tests, while maintaining observability on production pipelines and apps.
Collaborate with senior engineers and onshore leads to deliver features aligned with sprint commitments, contributing to design discussions and documentation.
5-8 years of professional software engineering experience with strong proficiency in Python.
Experience building full-stack features including React and Tailwind CSS front ends and Python APIs using FastAPI, Flask, or similar frameworks.
Daily use and strong proficiency with AI-assisted development tools like Claude Code, Cursor, or GitHub Copilot in production environments.
Familiarity with cloud platforms, preferably Azure, modern deployment workflows, and solid QA practices including test writing and data validation.
Capable of end-to-end ownership spanning data transformations, backend API development, and rich frontend engineering in a fast-paced AI/decisioning environment.
Experienced working with AI-assisted coding tools and interested in contributing to agentic AI features such as tool integrations and advanced prompt engineering.
Comfortable collaborating in distributed teams and effectively communicating technical details, with potential exposure to media, advertising, or marketing tech data domains.