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Mid-level, generalist fullstack GenAI in Gurgaon with broad tech stack increases candidate competition.
GenAI and LLM integration demands specialized AI-web experience, limiting cross-industry transferability.
Explicit 4–7 years requirement plus mandatory full-stack, AI integration, cloud, and Kubernetes skills increases shortlisting strictness.
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Lead design and development of scalable microservices for GenAI applications handling LLM requests and streaming responses.
Manage cloud deployments and CI/CD pipelines for AI software on AWS, Azure, or GCP.
Integrate frontend (React/Next.js) with backend (Python/FastAPI) ensuring low-latency AI model operations.
4–7 years of full-stack development experience with a recent focus on AI/ML model integration into web applications.
Proficient in Python (FastAPI/Django), JavaScript/TypeScript (React, Node.js), Docker, Kubernetes, and cloud AI services (AWS/Azure).
Bachelor’s or Master’s degree in Computer Science or related field.
Experience with cloud deployments and CI/CD integration for AI applications.
Experienced in architecting scalable microservices incorporating LLMs and streaming protocols like Server-Sent Events.
Comfortable managing end-to-end cloud deployments and automation pipelines for AI solutions across major cloud providers.
Skilled at bridging frontend and backend technologies for performant AI application delivery in enterprise environments.