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Mid-level generalist fullstack with broad AI-tool requirements increases applicant density in metro markets.
Fullstack plus AI-tool requirements moderately transferable, favors candidates with AI application experience.
Explicit 6-8 years and mandatory MERN/Python fullstack, AI tools, testing and cloud basics required.
Develop and maintain full stack applications using MERN or Python stacks, including frontend, backend, APIs, and data integration.
Leverage AI engineering tools (e.g., Claude, Copilot) to enhance coding, testing, debugging, documentation, and overall development workflows.
Own testing (unit, integration, API, basic UI), code reviews, deployment support, and apply basic LLM and prompt engineering concepts where needed.
6-8 years of relevant full stack development experience.
Proficiency in JavaScript/TypeScript or Python with React/Next.js for frontend and Node.js/Express/NestJS or FastAPI/Flask for backend.
Experience working with any relational or NoSQL database (e.g., PostgreSQL, MySQL, MongoDB).
Practical experience using AI-assisted coding tools such as Claude, Copilot, Codex, Cursor or similar.
Experienced in full stack development in environments combining React/Next.js and either Node.js or Python backends with databases.
Familiar with modern AI engineering workflows and able to validate and improve AI-generated code.
Comfortable working with cloud platforms (AWS, Azure, GCP) and implementing testing and CI/CD pipelines.