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Salary
≈ $17k – $41k per year (Estimated)
Location
In office (Thiruvananthapuram)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Nov 1, 2026. Tata Consultancy Services scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.

Role: Developer. Skills: Artificial Intelligence. Experience: 4 - 12 Years. Qualification: Bachelor Of Engineering

01.Job Description - GenAI

Developer

Role

Summary

GenAI

Developer to build LLM-powered applications and agentic workflows (RAG,

tool/function-calling, evaluation/guardrails) that integrate with enterprise

systems and data securely and reliably.

Key

Responsibilities

  • Develop

GenAI features: prompts, tool/function calling, agents, and workflow

orch estration (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

Must-Have

Skills

  • Strong

programming in Python and/or .NET/JavaScript; clean code, debugging, and

performance

  • GenAI fundamentals: LLMs (Gemini / Open AI), prompting, RAG, embeddings,

context windows, token/cost awareness

  • Integration: REST APIs, OAuth2, JSON, webhooks; basic cloud services usage
  • Data/security: PII handling, secrets management, logging, and access

controls

  • SDLC: Git, code reviews, CI/CD basics, Agile delivery

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