GenAI Engineer

Tata Consultancy Services • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • 1 day ago

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Salary

≈ $18k – $49k per year (Estimated)

Location

In office (Bengaluru)

Experience

4+ years exp

First seen by Alion on Oct 23, 2026.

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Tata Consultancy Services

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.

tcs.com • HQ: Mumbai, India • Management Consulting • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Est. 1968

Tech stack of Tata Consultancy Services

Responsibilities:

Design, develop, and deploy end-to-end Generative AI solutions for enterprise use cases.
Architect and implement Retrieval-Augmented Generation (RAG) pipelines.
Lead complete GenAI POC development, including solution architecture, development, testing, and deployment.
Design and optimise prompt engineering strategies for improved LLM performance.
Develop and orchestrate Large Language Model (LLM) workflows and agent-based AI systems.
Build scalable backend services and APIs using Python, FastAPI, or Flask.
Integrate GenAI applications with enterprise platforms, databases, and business systems.
Deploy and manage applications on Microsoft Azure, including Web Apps, Function Apps, and Virtual Machines.
Work with Databricks for data engineering pipelines, model workflows, and AI solution integration.
Collaborate with business stakeholders, architects, and cross-functional teams to deliver AI-driven solutions.
Mentor junior developers and provide technical leadership throughout the project lifecycle.

Requirements:

4+ years of overall software development experience.
Hands-on experience delivering production-level Generative AI solutions (POCs or personal projects alone will not be considered).
Strong expertise in: Retrieval-Augmented Generation (RAG), Prompt Engineering, LLM workflows and orchestration, Enterprise GenAI solution development.
Strong programming skills in Python.
Experience building REST APIs using FastAPI, Flask, or similar frameworks.
Proven ability to build complete GenAI solutions from scratch.

Skills

GenAI, Generative AI, Python, RAG, Retrieval-Augmented Generation

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