TCS Pune Is Hiring for Gen AI Developer.

Tata Consultancy Services; Pune District; On-site; INR 3,000,000 - 4,800,000; Full time

Job summary

Tata Consultancy Services (TCS) Pune invites applications for a Gen AI Developer to build LLM-powered apps and agentic workflows. The role focuses on secure, reliable integration with enterprise data and systems, employing Lang Chain, Semantic Kernel, LlamaIndex, and vector stores.

The candidate will craft prompts, tool calling, pipelines, and UI/chat experiences, while ensuring safety, evaluation, and cost controls across deployments.

Qualifications

• Regular, full-time education of 15 years (10+2+3)
• B.Tech preferred
• 5–10 years experience in GenAI/AI development

Responsibilities

• Develop GenAI features: prompts, tool/function calling, agents, and workflow orchestration (plan -> act -> verify)
• Build RAG pipelines: chunking, embeddings, retrieval, grounding, and citation-ready responses
• Integrate with APIs and data sources (REST/GraphQL, databases, files, SharePoint/ServiceNow, Databricks, etc.)
• Implement evaluation, safety and quality controls: tests, red-teaming, hallucination handling, and prompt/version management
• Collaborate with product/SMEs to convert use-cases to user stories; document design and support releases

Skills

Lang Chain

Semantic Kernel

LlamaIndex

Vector stores

UI/Chat experiences

Containerized services

Education

B.Tech preferred

15 years regular education

Tools

Azure AI Search

Pinecone

FAISS

REST/GraphQL

Job description

TCS Pune Is Hiring for Gen AI Developer.

Location: Pune

Experience: 5 - 10 Years.

Education

• Minimum 15 years of regular, full-time education (10 + 2 + 3) (B. Tech preferred)

Job Role

In this role the GenAI Developer will build LLM-powered applications and agentic workflows (RAG, tool/function-calling, evaluation/guardrails) that integrate with enterprise systems and data securely and reliably.

Skills

• Frameworks: Lang Chain / Semantic Kernel / LlamaIndex; vector stores (Azure AI Search, Pinecone, FAISS, etc.)
• Observability: tracing, prompt/version control, latency & cost monitoring
• Experience building UI/chat experiences and deploying containerized services

Responsibilities

• Develop GenAI features: prompts, tool/function calling, agents, and workflow orchestration (plan -> act -> verify)
• Build RAG pipelines: chunking, embeddings, retrieval, grounding, and citation-ready responses
• Integrate with APIs and data sources (REST/GraphQL, databases, files, SharePoint/ServiceNow, Databricks, etc.)
• Implement evaluation, safety and quality controls: tests, red-teaming, hallucination handling, and prompt/version management
• Collaborate with product/SMEs to convert use-cases to user stories; document design and support releases

Mandatory Requirements

EPCN number is mandatory for eligibility of the interview.