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Mid-level generalist title, metro location, and common skillset increase competition density.
Requires GenAI integration and cloud/fullstack skills, moderately transferable across industries.
Explicit 4–7 years plus mandatory AI, cloud, Kubernetes, and fullstack tech stack makes screening strict.
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Lead design and development of scalable microservices for enterprise GenAI applications managing LLM requests and streaming responses.
Manage cloud deployment and DevOps including CI/CD pipelines on AWS, Azure, or GCP for AI software components.
Ensure low-latency integration between React/Next.js frontends and Python/FastAPI backends running AI models.
4–7 years of experience in full-stack development with recent focus on AI/ML model integration into web applications.
Proficient in Python (FastAPI/Django), JavaScript/TypeScript (React, Node.js), Docker, Kubernetes, and AWS/Azure AI services.
Bachelor’s or Master’s degree in Computer Science.
Work Experience Required: 4–7 years in relevant full-stack and AI integration development.
Experienced in architecting scalable microservices specifically for handling LLM requests and streaming data.
Comfortable managing cloud deployments and CI/CD pipelines for AI applications across major cloud providers.
Skilled in seamless frontend-backend integration involving modern web frameworks and AI service backends.