Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service. It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Job Description :-

Job Title: AI/LLM Engineer – Agent Frameworks & Intelligent Systems

Role Summary We are looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems that can reason, plan, and act autonomously. The role requires strong Python engineering expertise and hands-on experience with modern agent frameworks, along with a solid understanding of data platforms and scalable architectures.

Key Responsibilities

Agent & AI System Development

Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar Develop intelligent components capable of reasoning, planning, and executing tasks autonomously Implement advanced cognitive patterns such as ReAct (Reasoning + Acting) LLM Capabilities & Enhancements Develop and integrate memory, tool usage, and context management capabilities (MCP) Build systems that leverage tool calling, chaining, and orchestration of LLM workflows Collaborate with prompt engineers to enhance model responses and performance Engineering & Development Write high-quality, scalable code using Python (including async programming) Build and maintain APIs and microservices for AI/agent-based applications Ensure systems are efficient, reliable, and production-ready Guardrails & Responsible AI Design and implement guardrails and safety mechanisms for LLM-driven systems Ensure robust handling of edge cases, failure scenarios, and unintended outputs Data & Platform Integration Work with modern data platforms such as: Snowflake Databricks Lakehouse architectures Integrate AI solutions with enterprise data pipelines and systems

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.