Job Description

LLM Expert Full-time Company Description T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a proud recipient of the prestigious Great Place To Work Certification . As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates across Pune, Bangalore, and Nagpur, boasting a dedicated team of 3500+ employees providing services to group customers. T-Systems offers integrated end-to-end IT solutions, driving the digital transformation of companies in all industries, including automotive, manufacturing, logistics, and transportation, as well as healthcare and the public sector. T-Systems develops vertical, company-specific software solutions for these sectors. T-Systems International GmbH is an information technology and digital transformation company with a presence in over 20 countries and a revenue of more than 4 billion. T-Systems is a world-leading provider of digital services and has over 20 years of experience in the transformation and management of IT systems. As a subsidiary of Deutsche Telekom and a market leader in Germany, T-Systems International offers secure, integrated information technology and digital solutions from a single source. Job Description Experience: 8+ Years Location: Balewadi Highstreet, Pune Mode of Work: Hybrid 8+ years of overall experience in machine learning and deep learning, with 2+ years focused on Large Language Models (LLMs) and Generative AI. Practical knowledge of Natural Language Processing (NLP) use cases Expertise in Retrieval-Augmented Generation (RAG) techniques, including ingestion techniques, parsing/chunking strategies, reranking, embedding, and vector databases. Proficient in retrieval strategies such as hybrid, BM25, keyword, semantic, and metadata filtering. Strong background in prompt engineering, including system prompts and context prompting to enhance model interactions and outputs. Experience with evaluation techniques for both generation and retrieval. Knowledge of ethical AI practices, including guardrails to prevent prompt injections and ensure responsible AI usage. Familiarity with frameworks such as Langchain, Llama-index, and NeMo for building robust AI applications. Understanding of agent-based systems like CrewAI and Langgraph for enhanced AI capabilities Job Location