Job Description

LTTS India
Mysore

Required Skills & Qualifications:

Bachelor's/Master's in Computer Science, AI/ML, Data Science, or related field Hands-on experience with LLMs (OpenAI, Anthropic, Hugging Face), diffusion models, and transformer architectures Practical experience evaluating LLM outputs for hallucination, grounding, accuracy, and relevance Familiarity with LLM fine-tuning techniques (LoRA, PEFT, adapters) Proficiency in Python, TensorFlow, PyTorch, and ML frameworks Strong knowledge of NLP, deep learning, and reinforcement learning Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices Strong experience with vector databases and Retrieval-Augmented Generation (RAG) Prior experience in building Gen AI applications for enterprise use cases Experience working with knowledge graphs and Graph RAG approaches (Neo4j, RDF, or similar) Excellent problem-solving and communication skills Strong expertise in prompt engineering including few-shot prompting, chain-of-thought, ReAct, and tool/function calling optimization


Nice to have

Experience with model optimization techniques such as quantization or distillation for performance improvement Understanding of AI ethics, bias mitigation, and responsible AI principles Exposure to LLM monitoring and observability (logging, tracing, feedback loops, user evaluation) Hands-on experience with agentic AI frameworks (planner-executor, tool-using agents, multi-agent systems) Experience optimizing latency, cost, and token usage in LLM-based systems

Job Requirement

AI/ML