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ryansg

Mumbai - India, India

AI Full Stack Engineer lead.

SENIOR LEVELDATA & ML
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. A multi-time winner of Newsweek’s Most Loved Workplaces and Insurance Business’s Top Insurance Employers, Ryan Specialty is home to some of the brightest talent in the insurance industry. Join our team and help provide innovative solutions for insurance brokers, agents and carriers. Talent Network Not seeing the right job opening? To learn more about future opportunities Introduce yourself and join our talent network Benefits Curious about Ryan Specialty’s benefits? Explore our employee benefits here! Ryan Specialty, LLC and its affiliates (“Ryan Specialty”) do not accept unsolicited resumes or candidate profiles submitted by any staffing agencies, placement services or professional recruiters (“Agencies”), including any submissions made through our website or to email accounts of Ryan Specialty employees. Agencies must be registered in Ryan Specialty’s agency portal and have a fully executed contract for service between Ryan Specialty and the Agency. Agency fee agreements will only be valid if provided in such fully executed contract between Ryan Specialty and the Agency. Any unsolicited resume or candidate profile received from an Agency without prior approval from Ryan Specialty’s HR department and in compliance with Ryan Specialty’s candidate submission process shall be considered unsolicited, gratuitous and property of Ryan Specialty for recruiting purposes and, as such, is not subject to payment of any Agency fees.
Pay
Not stated
Where
Mumbai - India, India
Work
Not stated
Type
Not stated
Posted
3 Nov, 2026
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