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Tier-1 brand, metro location, and broad fullstack plus AI skill requirements increase candidate competition.
Technical skills are transferable, but healthcare compliance and AI guardrails increase domain specificity.
Many mandatory stack skills, leadership, and change-management requirements create high shortlisting strictness.
Lead engineering and change management to transition from low-code to scalable pro-code analytics applications used globally.
Develop and maintain front-end and back-end components using React, TypeScript, Python FastAPI, and APIs ensuring scalability, security, and quality.
Drive adoption of AI-assisted development tools with governance, create reusable templates and patterns, and oversee cross-functional collaboration to improve SDLC efficiency.
Strong experience with React (v18+), TypeScript, Python (FastAPI or similar frameworks).
Solid understanding of REST API design, asynchronous programming, component-based architecture, and strong SQL and relational database skills.
Hands-on experience or strong knowledge of AI-assisted development tools (e.g., GitHub Copilot, Claude Code) and responsible AI-generated code use.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing transitions from low-code/no-code to pro-code environments with proven coaching and capability building skills.
Strong engineering mindset balancing rapid AI-assisted development with maintainability, quality, and compliance in large-scale or enterprise settings.
Skilled at creating developer guidance, reusable coding patterns, and driving change management to embed AI-assisted development across teams.