Generative AI

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:
UI development using React, Angular or similar frameworks with HTML, CSS and JavaScript/TypeScript.
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.
Roles & Responsibilities:
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.
Minimum Qualification:
15 years of Full Time Education

Work arrangement
No