LLM Engineer

Job Summary:
We are seeking an experienced and highly motivated LLM Engineer with 5+ years of experience in AI/ML, NLP, and deep learning. The ideal candidate will have hands-on expertise in working with large language models (LLMs) such as GPT, LLaMA, Mistral, Claude, or similar, and a strong understanding of model ne-tuning, prompt engineering, evaluation, and deployment. Key Responsibilities: ¢ ¢ ¢ Design, develop, ne-tune, and deploy large language models for specic use cases. Build and optimize prompt strategies for various downstream tasks (e.g., summarization, Q&A, classication). Work on retrieval-augmented generation (RAG) pipelines and integrate LLMs with vector databases like FAISS, Pinecone, or Weaviate. Evaluate LLM performance using metrics such as BLEU, ROUGE, perplexity, and human-in-the-loop feedback. Collaborate with data scientists, ML engineers, and product teams to deliver scalable AI-powered solutions. ¢ ¢ Optimize model performance for latency, throughput, and accuracy. Stay updated with the latest research and advancements in LLMs and generative AI. Required Skills: ¢ Strong programming skills in Python and familiarity with libraries like Hugging Face Transformers, LangChain, or LlamaIndex. ¢ ¢ ¢ ¢ Deep understanding of NLP techniques and transformer-based architectures. Experience with ne-tuning, LoRA, PEFT, or quantization of LLMs. Knowledge of vector databases and embedding techniques. Familiarity with ML Ops tools (MLow, Weights & Biases) and deployment frameworks (FastAPI, Docker, Kubernetes). ¢ ¢ Experience with cloud platforms (AWS, GCP, or Azure) for training and deploying models. Good grasp of data preprocessing, annotation, and model evaluation techniques.