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Location: Pune; Westend Center I, India
Position Type: Full time Type Of Hire : Experienced (relevant combo of work and education) Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS. Role location Hybrid (two days in-office, three days virtual). About the role FIS is seeking a Senior Software Engineer, GenAI Platform to help build and evolve FIS Concierge, our enterprise generative artificial intelligence platform. In this role, you will design and deliver scalable backend services while developing advanced AI capabilities including large language model integrations, retrieval-augmented generation, agentic workflows, and Model Context Protocol integrations. You will work across cloud, data, security, and platform technologies to create reliable, enterprise-grade AI solutions that connect users with knowledge, systems, and business applications. Your key responsibilities 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 bring Required qualifications 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, along with experience using Docker, Kubernetes, and continuous integration and delivery practices. Preferred qualifications 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. The impact you’ll make As a Senior Software Engineer, GenAI Platform, you will help shape the future of AI-powered experiences at FIS by building foundational capabilities for FIS Concierge. Your work will enable secure, scalable, and intelligent interactions across enterprise knowledge and business systems. You will collaborate with engineering teams to accelerate innovation, improve productivity, and deliver practical generative AI solutions that create value across the organization. What we offer you Ready to build what's next? At FIS, you'll have the opportunity to grow your career, contribute your ideas, and help create technology that powers the global economy. Our benefits include: Opportunities to innovate in fintech Tools for personal and professional growth Internal career growth opportunities Inclusive and diverse work environment Resources to invest in your community Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice . Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass
Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.
Most IT Jobs posts in Pune ask for 3–6 years of experience (43% of 957 that say).
From live job posts on CoreHRx, updated 9 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Pune, 51 posts).
The post asks for 8–12 Yrs experience.
In Pune (hybrid).
It is a full time job.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for Node.js backend roles, from freshers facing their first technical round to experienced developers aiming for senior positions at product companies and service firms. It covers what interviewers ask most in 2025 and 2026 on Node 20 and 22: the event loop and libuv, modules, async patterns, streams and buffers, Express middleware, error handling, clustering and worker threads, security, performance, REST API design and testing. Questions are grouped as easy, medium and hard. Read each answer, run the code yourself, and then explain it aloud in your own words.
Questions you may be asked
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