AI Full Stack Engineer lead

• *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 relational and NoSQL databases (PostgreSQL, MongoDB, Redis)
• Familiarity with REST API design and integration patterns
• Comfort using AI\-assisted development tools (Copilot, Cursor, Claude Code) as day\-to\-day workflow

• *Nice to Have**

• Experience with Azure AI Foundry, Azure Machine Learning, or AWS Bedrock
• Knowledge of MLOps practices and model monitoring
• Exposure to multi\-modal AI applications (vision, speech, document intelligence)
• Understanding of prompt engineering strategies, chain\-of\-thought, and function calling
• Contributions to open\-source AI/agent projects

• *Disclaimer**

Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.