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