Overview

Location: Noida (WFO) Timings: 10:30 AM to 7:30 PM; Mon-Fri About the Role We are seeking a talented LLM (Large Language Model) Engineer to join our growing AI/ML team.

Responsibilities

• Design, train, fine-tune, and evaluate large language models (LLMs) for various use cases.
• Implement prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques to optimize model outputs.
• Build pipelines for data preprocessing, tokenization, and dataset curation.
• Optimize model performance (latency, throughput, and cost-efficiency) for production-scale deployment.
• Integrate LLMs into applications, APIs, and business workflows. Research and experiment with new architectures, frameworks, and techniques in NLP and generative AI.
• Collaborate with cross-functional teams to translate product requirements into scalable AI solutions.

Qualifications

• Minimum 2 years of professional
• experience in AI/ML engineering or NLP. Strong programming skills in Python and
• familiarity with libraries such as PyTorch, TensorFlow, Hugging Face Transformers.
• Experience with fine-tuning LLMs (e.g., GPT, LLaMA, Falcon, Mistral, etc.). Knowledge of prompt engineering, embeddings, and vector databases (e.g., FAISS, Pinecone, Weaviate). Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Understanding of distributed systems, model optimization, and deployment strategies. Preferred Qualifications
• Experience with RAG (Retrieval-Augmented Generation) and knowledge of LangChain / LlamaIndex.