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Agent engineeringSeniorNew

Gen AI Engineer

Tata Consultancy ServicesPan India (On-site)

Posted 1d ago/Full-time/Expires Nov 10, 2026

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Why it matters

The role directly owns multi-agent LLM systems and RAG pipelines, including vector search, model evaluation, prompt engineering, and production API integration. It names agent frameworks including LangChain, LlamaIndex, and AutoGen, with responsibility for improving output reliability.

About the job

Job Role : Gen AI Engineer with Python and AIML

Experience: 5-10 Years

Location: Pan India

Mode of Work : Work from Office

Responsibilities

LLM & Agentic Systems: Design, develop, and maintain multi-agent systems and applications using Large Language Models (LLMs).
RAG Implementation: Build and optimize Retrieval Augmented Generation (RAG) pipelines using vector databases and semantic search.
AI/ML Integration: Implement fine-tuning, prompt engineering techniques, and model evaluation to improve output reliability.
Software Engineering: Develop secure RESTful APIs, microservices, and backend services to integrate AI capabilities into existing products.
Data Processing: Preprocess, analyze, and manage large-scale structured and unstructured datasets for model ingestion

Qualifications

Required Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Required Skills

Core Languages: Strong proficiency in Python (data structures, algorithms, and OOPs).
AI/ML Stack: Deep understanding of deep learning, NLP, transformer architectures, and ML frameworks (e.g., PyTorch, TensorFlow).
Gen AI Frameworks: Hands-on experience with the Hugging Face ecosystem, LangChain, LlamaIndex, or AutoGen.
Databases: Experience with vector databases (e.g., Pinecone, Chroma, Milvus) and traditional relational/NoSQL databases (SQL, MongoDB)

Stack

python
pytorch
tensorflow
hugging face
langchain
llamaindex
autogen
mongodb

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