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Popular mid-level Fullstack title increases applicants, but AI-native specialization narrows the candidate pool.
Requires fullstack plus AI tooling experience, so transferable but prefers candidates with AI engineering exposure.
Explicit 6-8 years plus mandatory MERN/Python, frontend/backend and AI tooling skills tighten filters.
Develop and maintain front-end and back-end components using MERN stack or Python full stack technologies, including APIs and database integrations.
Leverage AI engineering tools like Claude, Copilot, or Codex for coding, testing, debugging, documentation, and refactoring to speed up development and improve quality.
Handle deployment-related tasks such as troubleshooting, logging, monitoring, and configuration, and apply basic LLM and prompt engineering techniques as needed.
6-8 years of relevant experience in full stack development.
Proficient in JavaScript/TypeScript or Python with strong skills in React or Next.js for frontend and Node.js/Express/NestJS or Python frameworks (FastAPI, Flask) for backend.
Experience with databases such as PostgreSQL, MySQL, MongoDB, SQL Server, Oracle, or Redis.
Familiarity with AI coding tools (Claude, Copilot, Codex, Cursor or similar) and basic understanding of LLMs, prompt engineering, RAG, and embeddings.
Experienced full stack developer comfortable with both frontend (React/Next.js) and backend (Node.js/Python) development in production environments.
Demonstrated capability to integrate AI-assisted development tools efficiently into coding workflows to enhance speed and quality.
Hands-on with cloud platforms (AWS/Azure/GCP) and comfortable supporting deployment and monitoring tasks in modern CI/CD ecosystems.