Agentic AI Engineer Senior (Node JS, LLM, RAG) - 8 to 12 Years

Overview

Senior Software Engineer, GenAI Platform to help build and evolve FIS Concierge, FIS's enterprise generative AI platform, delivering scalable backend services and advanced AI capabilities.

What you'll do

• Design, develop, and maintain scalable backend services, application programming interfaces, and microservices using Node.js, NestJS, and TypeScript.
• Build production-ready generative AI solutions, including retrieval-augmented generation, AI-powered search, prompt orchestration, tool calling, and agent-based workflows.
• Develop agentic solutions and Model Context Protocol integrations that connect AI capabilities with enterprise systems, APIs, and knowledge repositories.
• Implement cloud-native solutions using Microsoft Azure services including Azure OpenAI, Azure AI Search, Cosmos DB, Storage, and Azure Kubernetes Service.
• Contribute to architecture design, code reviews, continuous integration and delivery processes, production support, troubleshooting, and platform optimization.

What you'll need

• 8 to 12 years of software engineering experience with strong hands-on expertise in Node.js, NestJS, TypeScript, REST APIs, microservices, and distributed systems.
• Experience integrating large language models and generative AI platforms, preferably Azure OpenAI or OpenAI, including prompt engineering and retrieval-augmented generation architectures.
• Experience building AI agents, tool-calling workflows, multi-step orchestration, and Model Context Protocol client, server, or tool integrations.
• Strong experience on RAG, Agentic AI, MCP, LLM, Vector DB with Microsoft Azure services, including Azure OpenAI, Azure AI Search, Cosmos DB, Storage, Azure Kubernetes Service, and NoSQL data technologies.
• Knowledge of enterprise security and modern authentication patterns, including OAuth, OpenID Connect, JSON Web Tokens, Security Assertion Markup Language, Microsoft Entra ID, Azure Active Directory, and Okta.
• Experience using Docker, Kubernetes, and continuous integration and delivery practices.

Nice to have

• Experience with AI evaluation frameworks, groundedness and relevance assessment, observability tools, or responsible AI controls.
• Experience with Microsoft Graph and Microsoft 365 integrations.
• Familiarity with frameworks such as Semantic Kernel, LangGraph, LangChain, Vercel AI SDK, or OpenAI Agents SDK.
• Experience building enterprise knowledge platforms, AI-powered search solutions, or multi-tenant AI applications.

Details

• Location: Pune, India.
• Work mode: Hybrid (two days in-office, three days virtual).