Agentic AI Engineer Senior (Node JS, LLM, RAG) - 8 to 12 Years
FIS (company site, opens in a new tab)8–12 yrsPuneOn-siteDirect career pageEst. 30–45 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable backend services and microservices using Node.js, NestJS, and TypeScript.
- Build advanced generative AI features including LLM integrations, retrieval-augmented generation, agent-based workflows, and Model Context Protocol integrations.
- Deliver secure, cloud-native AI solutions on Microsoft Azure platform services, ensuring enterprise-grade AI-powered interactions across knowledge and business systems.
Minimum Requirements
- 8 to 12 years of software engineering experience with hands-on expertise in Node.js, NestJS, TypeScript, REST APIs, microservices, and distributed systems.
- Experience with integrating large language models and generative AI technologies (preferably Azure OpenAI or OpenAI) including prompt engineering and RAG architectures.
- Strong experience with Agentic AI, Model Context Protocol, Microsoft Azure AI services including Azure OpenAI, Azure AI Search, Cosmos DB, and Kubernetes.
- Knowledge of enterprise security and modern authentication patterns (OAuth, OpenID Connect, JWT, SAML) and experience with Docker, Kubernetes, CI/CD; Hybrid work location (2 days in-office, 3 days virtual).
Ideal Candidate Profile
- Senior-level engineer comfortable leading GenAI platform backend development with a focus on scalable, cloud-native architectures.
- Experienced in building production-grade AI agent workflows and multi-step orchestration within enterprise environments.
- Strong Azure cloud and security background aligned with integrating AI systems into business contexts, focusing on operational stability and enterprise compliance.