Generative AI

Tata Consultancy Services Limited; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Tata Consultancy Services Limited in Bengaluru is hiring for Generative AI roles across multiple locations. You will design and implement Python-based AI solutions, build REST APIs and microservices, and integrate large language models with enterprise tools.

Ideal candidates have 6–10 years of hands-on experience, strong skills in FastAPI/Flask/Django, AWS services, and GenAI capabilities such as embeddings, vector search, and RAG.

Qualifications

• 6–10 years of hands-on software development experience.
• Strong Python OO programming, secure coding, testing.
• Experience with REST APIs and microservices in Python.
• Hands-on GenAI development, embeddings, RAG, prompt engineering.
• Experience integrating LLMs via managed platforms or APIs.
• Experience with AWS services and cloud infrastructure.
• Knowledge of API security, IAM, encryption, and data privacy.

Skills

Python

REST APIs

FastAPI/Flask/Django

Generative AI

LLMs integration

AWS Bedrock

SageMaker

Docker

Git

MLOps

Tools

LangChain

Weaviate

Pinecone

OpenSearch

Job description

TCS Hiring for Generative AI (multiple locations)

Experience Range: - 06 To 10 Years

JOB DESCRIPTION

Must-Have Technical / Functional Skills:

• Strong hands‑on Python development experience covering object‑oriented programming, reusable modules, exception handling, logging, unit testing, performance optimization and secure coding.
• Production experience developing REST APIs and microservices using FastAPI, Flask or Django.
• Hands‑on Generative AI development using prompt engineering, model integration, embeddings, vector search and Retrieval‑Augmented Generation (RAG).
• Experience integrating Large Language Models through managed platforms or APIs, preferably Amazon Bedrock or approved enterprise model services.
• Practical Agentic AI knowledge, including tool/function calling, workflows, memory, planning, orchestration, guardrails and human‑in‑the‑loop controls.
• Working knowledge of AWS services such as Lambda, API Gateway, S3, ECS/EKS, Bedrock, SageMaker, DynamoDB/RDS, CloudWatch, IAM, Secrets Manager, Step Functions and SQS/SNS.
• Experience with relational or NoSQL databases, Git, CI/CD, Docker and deployment automation.
• Understanding of API security, IAM, encryption, secrets management, privacy, responsible AI and secure enterprise‑data handling.
• Strong debugging and analytical skills across applications, cloud integrations, databases and model responses.

Secondary / Good‑to‑Have Skills:

• Web‑based application development and front‑end integration with APIs and AI services.
• Knowledge of LangChain, LangGraph, LlamaIndex or equivalent orchestration frameworks.
• Exposure to OpenSearch, pgvector, Pinecone, Weaviate, FAISS or another vector‑search solution.
• Knowledge of GenAI evaluation covering relevance, groundedness, hallucination control, safety, latency and cost.
• Exposure to observability, MLOps/ LLMOps and automated testing of AI‑enabled applications.
• Design, develop, test and maintain scalable Python applications, APIs and cloud‑native services.
• Build GenAI solutions using approved models, RAG patterns, prompt templates, embeddings and vector stores.
• Develop agentic workflows connecting models with approved tools, APIs, data sources and business processes.
• Implement safeguards for confidential data, access control, prompt injection, output validation, auditability and responsible AI.
• Deploy and operate AWS workloads with appropriate security, resiliency, monitoring, logging and cost controls.
• Create reusable components and integrations for web‑based and AI‑enabled applications.
• Write unit, integration and functional tests; perform code reviews and maintain technical documentation.
• Troubleshoot incidents, identify root causes and implement preventive improvements.
• Collaborate with architects, product owners, UI developers, DevOps, data teams and business stakeholders.
• Participate in Agile planning, estimation, stand‑ups, demos, retrospectives and releases.
• For the senior position, lead solution design, review complex implementations and mentor developers.