AI Full Stack Engineer lead
Ryan Specialty (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 22–35 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Own the design, development, and deployment of production-grade AI-powered full stack web applications integrating LLM APIs across frontend and backend.
- Build and maintain RESTful/GraphQL APIs and modern React/Next.js UIs interacting with AI agents in real-time, implementing RAG pipelines with vector databases.
- Leverage containerization (Docker), cloud CI/CD (Azure/AWS), and AI-assisted development tools to deliver and improve AI features from prototype to production.
Minimum Requirements
- Proficiency in Python (FastAPI/Flask) and JavaScript/TypeScript (React, Next.js, Node.js).
- Experience integrating AI Agents using frameworks like LangChain, LangGraph, AutoGen, or CrewAI.
- Hands-on with LLM APIs including OpenAI, Azure OpenAI, Anthropic, or Gemini and RAG pipelines with vector embeddings.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with AI-native full stack development combining backend AI services and modern frontend frameworks in production environments.
- Skilled at deploying AI applications on cloud platforms (Azure/AWS) using Docker and Kubernetes with CI/CD pipelines.
- Familiar with prompt engineering, LLM fine-tuning, semantic search, and AI coding assistants as primary engineering tools.