Ryan Specialty Group · MH, India
Skills: React, Next.js, TypeScript, JavaScript, Node.js, Python, SQL, MongoDB, AWS, Docker, GraphQL, CI/CD
Position Summary:
About the Role We are looking for an AI Full Stack Engineer who can build complete, production-grade web applications powered by AI tools, LLMs, and autonomous AI Agents. You will design, develop, and deploy end-to-end solutions — from intelligent backend services and AI-driven APIs to polished, interactive frontends — leveraging the latest AI development platforms and agentic frameworks
Location:
Mumbai - India
What will your job entail?
Key Responsibilities
Design and develop full stack applications with AI-native features, integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic Claude) into both frontend and backend layers Develop RESTful and GraphQL APIs that expose AI agent capabilities to frontend clients and third-party systems Build responsive, modern UIs using React / Next.js that interact with AI backends in real-time (streaming responses, tool call results, agent progress) Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases (Azure AI Search) for contextual AI applications Leverage AI coding assistants (GitHub Copilot, Cursor, Claude Code) as core development tools to accelerate full-cycle engineering work Containerize and deploy full stack AI applications to Azure / AWS using Docker, Kubernetes, and cloud-native CI/CD pipelines Monitor, evaluate, and improve LLM-powered features through prompt engineering, fine-tuning, and feedback loops Collaborate with product, data, and DevOps teams to ship AI-powered features from prototype to production
Required Skills
Proficiency in Python (FastAPI / Flask) and JavaScript/TypeScript (React, Next.js, Node.js) Hands-on experience building or integrating AI Agents with frameworks like LangChain, LangGraph, AutoGen, or CrewAI Experience calling and fine-tuning LLM APIs — OpenAI, Azure OpenAI, Anthropic, or Gemini Solid understanding of RAG pipelines, vector embeddings, and semantic search Proficiency with containerization (Docker) and cloud deployment (Azure or AWS) Experience with re…
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