Greetings from Tata Consulting Services TCS is Hiring for GEN AI

Experience:
5-9 years

Location:
Hyderabad Please find the JD below

About the Role
This is a Full Stack Software Development Engineer role within a team building customer
- and workforce-facing conversational AI solutions, responsible for building next-generation conversational AI, intelligent search, and knowledge systems that power customer and associate experiences across multiple channels. This role requires hands-on expertise in designing, developing, and productionizing scalable, secure, and enterprise-grade GenAI solutions across cloud and on-premise environments.

Key Responsibilities
● Design and develop LLM-powered applications for conversational AI, knowledge retrieval, and insights delivery ● Build and orchestrate end-to-end GenAI pipelines, including prompt engineering, RAG, and agent-based workflows ● Develop and manage LLM agents (tool usage, API integration, function calling) ● Integrate LLMs across cloud and on-prem/open-source environments ● Build RAG data pipelines (chunking, indexing, metadata enrichment) ● Implement evaluation frameworks covering accuracy, hallucination, latency, safety, and validation (LLM-as-judge, human-in-loop) ● Apply AI safety and guardrails, including prompt injection prevention and response validation ● Optimize models using prompt tuning,



embeddings, and fine-tuning techniques ● Develop multimodal conversational experiences (text and voice) ● Build scalable backend services using microservices and REST APIs ● Enable observability (latency, token usage, cost, drift, quality monitoring) ● Contribute to POCs, experimentation, and adoption of emerging GenAI technologies Required Skills Core Engineering ● Strong proficiency in Java / J2EE, Spring Boot, RESTful APIs ● Robust proficiency in Python for AI/ML and GenAI workflows ● Experience in building distributed systems and microservices architectures GenAI & LLM Expertise ● Hands-on experience with LLM frameworks (LangChain, LangGraph, Semantic Kernel) and RAG-based knowledge retrieval systems ● Strong understanding of prompt engineering, workflow orchestration, and agent-based systems (tool usage, function calling) ● Experience with vector databases, embeddings, and semantic search ● Experience working with LLMs across cloud platforms and on-prem/open-source models ● Experience designing LLM evaluation pipelines (benchmarking, prompt testing, LLM-as-judge) ● Strong understanding of hallucination mitigation, AI safety, guardrails, and prompt injection prevention ● Knowledge of PII handling and governance/compliance framework

📌 GEN AI (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad