Top Gen AI Jobs
Website:
cloudact.ai
Company:
https://www.linkedin.com/company/topgenaijobs
Seniority: Not Applicable
Industries: Technology, Information and Internet
Job details:
Home/Jobs/Generative AI Application Developers
Generative AI Application Developers
Zensar
Pune
4-8 years
2 days ago
$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
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 opportunity 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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