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Strong employer brand, generalist full-stack title, metro location, and broad cross-stack requirements increase competition.
Specialized ML/AI integration and regulated-healthcare context increase domain specificity, though core full-stack skills remain transferable.
Explicit 7+ years requirement plus mandatory full-stack, cloud, and DevOps tech stack increases shortlisting strictness.
Own the full-stack software engineering lifecycle for scalable AI-powered healthcare applications, including frontend UI, backend services, APIs, and cloud infrastructure.
Design, build, and secure cloud architectures on AWS using infrastructure-as-code and manage CI/CD pipelines with containerization (Docker).
Accelerate development with AI coding agents, conduct thorough code reviews, and ensure robustness in production-grade environments.
7+ years of software engineering experience with a focus on backend, cloud infrastructure, advanced frontend, and DevOps.
Proven experience building backend systems and APIs for AI/LLM-powered applications handling real-time, non-deterministic data.
Strong expertise in TypeScript with React/Next.js or Angular 16+, Python backend development, AWS cloud services, Terraform, Docker, and CI/CD pipelines.
Bachelor’s or higher degree in Computer Science, Software Engineering, or related field; based in Hyderabad, India; English proficiency at C1+.
Experienced in integrating AI and LLM capabilities into production backends and UIs, managing complex streaming and agentic workflows.
Comfortable working in small, agile, multidisciplinary teams using AI-assisted software development lifecycle (agentic SDLC).
Able to act as technical anchor with accountability for system-level diagnostics and stepping into Tech Lead roles when necessary.