Home/Jobs/Generative AI Application Developers Generative AI Application Developers Zensar Pune 4-8 years Today $33.7K–53.0K/yr Full-time Onsite Skills Required LLM APIs RAG LangChain LlamaIndex Prompt Engineering Embeddings Vector Database OpenAI Anthropic Azure OpenAI Ragas LangGraph AutoGen CrewAI MCP Description Zensar is hiring for an Agentic AI role focused on generative AI application development. The position emphasizes production-grade engineering, cloud-native systems, and collaboration with architecture and AI/ML partners.

Company: Zensar Role: AES - DE - Generative AI Application Developers Location: Pune, Maharashtra, India Experience 4-8 years of experience

Strong ownership and ability to ship production-grade code

Collaborative team player who works closely with the Solution Architect and AI/ML Engineer

Quick learner who stays current with the fast-moving GenAI ecosystem Qualification BE Computer Responsibilities Part of the Agentic AI team

Develop generative AI applications

Build cloud-native microservices

Design and implement REST and gRPC APIs

Implement event-driven architecture using Kafka

Apply Domain-Driven Design concepts

Build RAG pipelines

Create agentic workflows with function calling, tool use, and agent loops

Develop coding agents, review agents, or test-generation agents

Implement evaluation frameworks and guardrails

Set up observability for GenAI systems

Integrate with enterprise systems and cloud services Additional Responsibilities Use Git, GitHub Actions, FluxCD, and GitOps workflows

Work with Docker, Kubernetes, and Helm

Implement data pipelines for ingestion and indexing

Work with SQL and NoSQL basics Nice To Have TypeScript / Node.js as a plus

Experience with LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, or equivalent

Familiarity with Speckit, GitHub Copilot extensions, and Figma MCP integration More Skills Python, TypeScript, Node.js, REST API design, gRPC API design, async programming, FastAPI,



cloud-native microservices, Kafka, Domain-Driven Design (DDD), Git, GitHub Actions, FluxCD, GitOps workflows, Docker, Kubernetes, Helm, open-source models, prompt versioning, structured output, JSON schema, Pydantic, chunking, pgvector, FAISS, Pinecone, Weaviate, function calling, tool use, agent loops, MCP server/client implementation, Speckit, GitHub Copilot extensions, Figma MCP integration, coding agents, review agents, test-generation agents, eval frameworks, DeepEval, promptfoo, LangSmith, guardrails, NeMo Guardrails, Guardrails AI, custom validators, LangFuse, OpenTelemetry, token dashboards, cost dashboards, SQL, NoSQL, data pipelines, ingestion, indexing, Jira, Confluence, GitHub, Artifactory, Azure, AWS, GCP, storage, compute, identity Other Day Job

Work from Anywhere: No

Zensar description includes experience-led culture and ONE with Client values: One Zensar, Nurturing, Empowering, and Client Focus

Part of the RPG Group

10,000+ innovators across 30+ global locations

Equal employment prospect and affirmative action employer

Inclusive workplace commitment

Job Identification: 145116

Posting Date: 10/08/2026, 23:32

Apply Before: 14/08/2026, 11:30 Prepare for this role Recommended resources to build the skills for this position. Sponsored. Functions, Tools and Agents with LangChain Coursera Advanced LangChain covering function calling, tool use, and conversational agents.

LangChain Chat with Your Data Coursera Build RAG applications with LangChain — document loading, splitting, embeddings, and retrieval. LangChain for LLM Application Development Coursera Official LangChain course taught by Harrison Chase. Covers chains, agents, and memory.

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