GEN AI Engineer For Kochi Location at Tata Consultancy Services | Findjobs | Findjobs
GEN AI Engineer For Kochi Location
Tata Consultancy Services
Location
🇮🇳 India
Type
Full-time
Salary
Undisclosed
Posted
1w ago
Job Description
Greetings from TCS! Job Title: Gen AI Engineer Walkin Interview Date: 25th April 26 Walkin Location: Infopark Road Infopark Campus, Infopark E, Kakkanad, Kerala 682045 Walkin Time: 9am-1pm Experience Range: 6-10 yrs
Job description
: TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.
What we are looking for
:
Role Summary
Experienced Generative AI (GenAI) Engineer with 6-10 years of software/ML engineering experience and a strong track record of delivering LLM-powered applications into production.
The role
involves designing and building GenAI solutions such as RAG-based assistants, copilots, agent workflows, and enterprise knowledge systems, ensuring they are secure, scalable, observable, and cost-efficient. The engineer will work closely with product, data, security, and platform teams to create measurable business outcomes while establishing best practices for LLMOps, evaluation, and responsible AI.
Key Responsibilities
Build and productionize LLM-powered applications (chatbots, copilots, summarization, search/Q&A, document intelligence) with measurable quality and reliability.
Design and implement Retrieval-Augmented Generation (RAG) solutions: chunking strategies, embeddings, hybrid search, ranking, prompt templates, grounding, and citation-based responses.
Develop agentic workflows: tool/function calling, multi-step reasoning pipelines, orchestration, retry/fallback logic, and state management for complex tasks.
Implement LLMOps practices: prompt/version control, evaluation pipelines, model routing, A/B testing, cost monitoring, and automated regression testing.
Create scalable inference services and APIs (REST/gRPC) with performance optimization (latency, throughput, caching, streaming responses).
Build and maintain vector and knowledge layers: indexing pipelines, metadata enrichment, access control filtering, freshness strategies, and re-index automation.
Implement guardrails and safety controls: input/output filtering, jailbreak detection patterns, PII redaction, policy-based access, content moderation, and audit logging.
Establish observability and monitoring: quality metrics, grounding metrics, hallucination rate, drift, token usage, latency, error rates, and user feedback loops.
Collaborate with security/compliance to ensure enterprise
requirements
(RBAC, encryption, data residency, retention, DLP) are built into the solution. • Mentor junior engineers and contribute reusable components, internal libraries, templates, and reference architectures. Minimum Qualification: 15 years of full-time