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Mid-level generalist fullstack title and 6-8 year band increase applicant density.
Fullstack skills transfer across industries, but AI-native LLM experience adds moderate domain specificity.
Explicit 6-8 years plus mandatory React/Node/Python, database, and AI tooling requirements increase filtering.
Develop and maintain full stack applications using MERN or Python stack, including frontend (React/Next.js), backend (Node.js or Python), APIs, and data integrations.
Leverage AI engineering tools (e.g., Claude, Copilot, Codex) for improving code quality, testing, documentation, and development speed.
Ensure code quality through unit, integration, API, and UI tests; participate in code reviews focusing on AI-generated code; support deployment, monitoring, and configuration tasks.
6-8 years of relevant full stack development experience with MERN (React/Next.js + Node.js) or Python stack (FastAPI/Flask).
Strong programming skills in JavaScript/TypeScript or Python.
Experience with REST APIs, authentication, authorization, validation, error handling, and any relational or NoSQL database (PostgreSQL, MySQL, MongoDB, etc.).
Practical experience using AI coding tools like Claude, Copilot, Codex, Cursor; basic cloud exposure (AWS, Azure, or GCP).
Experienced in integrating AI-assisted development tools to increase development efficiency and code quality in production applications.
Comfortable working across frontend, backend, testing, deployment, and monitoring in a full stack capacity with knowledge of modern JS or Python frameworks.
Familiar with foundational AI concepts related to large language models, prompt engineering, retrieval-augmented generation (RAG), and embedding usage in real-world software solutions.