LLM Engineer

We are seeking a highly skilled and motivated LLM Engineer to join our AI team. In this role, you will work on the development, fine-tuning, optimization, and deployment of large language models (LLMs) to solve real-world problems across a variety of domains. You’ll be part of a team that builds intelligent systems using cutting-edge NLP and deep learning technologies. Responsibilities Design, develop, and fine-tune large language models (e.g., GPT, LLaMA, Mistral) for internal and client-facing applications. Implement scalable training and inference pipelines on the cloud or distributed infrastructure. Customize and optimize LLMs using techniques like LoRA, quantization, and distillation. Build evaluation frameworks to measure model performance, accuracy, and safety. Collaborate with data scientists, ML engineers, and product managers to integrate LLMs into products. Stay up to date with the latest advancements in LLM research and apply relevant findings. Ensure model reliability, security, fairness, and alignment with ethical standards. Requirements Must-Have: Strong experience with LLMs (e.g., GPT, PaLM, Claude, Falcon, LLaMA). Proficiency in Python and ML frameworks like PyTorch, Hugging Face Transformers, or TensorFlow. Experience with model fine-tuning, prompt engineering, and evaluation. Familiarity with modern ML infrastructure (e.g., GPUs, TPUs, distributed training). Solid understanding of NLP fundamentals and transformer architectures. Experience with MLOps tools (e.g., Weights & Biases, MLflow, Airflow). Bachelor's or Master's in Computer Science, AI, or related field (PhD is a plus). Nice-to-Have Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate). Familiarity with RAG (Retrieval-Augmented Generation) systems. Understanding of data privacy, model alignment, and ethical AI practices. Experience contributing to open-source LLM projects. Benefits Competitive salary and stock options Flexible remote work policy Learning and development budget Health, dental, and vision insurance Opportunity to work on cutting-edge AI technologies with world-class talent To Apply Please submit your resume highlighting your relevant experience and passion for education content to hr@qataloog.com <