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Tier-1 brand, popular full-stack title, metro location, and mid-level seniority create high applicant competition.
Core full-stack, cloud, and Python skills are transferable, but healthcare AI and responsible-AI requirements add domain specificity.
Explicit 7+ years plus mandatory multi-stack AI, cloud, frontend, backend, and DevOps skills enforce strict filters.
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Own end-to-end full-stack software engineering including frontend UI, backend services, cloud infrastructure, and DevOps for AI applications.
Develop scalable, reusable UI components with TypeScript and React/Next.js or Angular 16+, handling real-time LLM streams and dynamic data.
Design and maintain secure, scalable AWS cloud infrastructure; implement Infrastructure-as-Code with Terraform; build automated CI/CD pipelines and containerize apps with Docker.
7+ years of software engineering experience with focus on backend, frontend architecture, cloud, and DevOps.
Proven experience with AI integration in backend systems supporting large language models, real-time streaming, and safe UI rendering.
Strong expertise in TypeScript with React/Next.js or Angular 16+, Python backend development, AWS services, Terraform, Docker, and CI/CD tools (e.g., GitHub Actions).
Bachelor’s or higher degree in Computer Science, Software Engineering, or related field.
Experienced in leveraging AI coding agents and autonomous tools within an agentic software development lifecycle for accelerated delivery.
Able to handle complex, multidisciplinary roles with deep accountability, including potential to step into technical leadership.
Skilled at diagnosing and solving system-level issues across full stack and cloud, with solid understanding of enterprise security and responsible AI deployment.