LLM Engineer

You will work at the intersection of machine learning, software engineering, and product to build scalable and reliable LLM-based systems.

Responsibilities:

• Develop, fine-tune, and evaluate large language models and embedding systems.
• Build and optimise inference pipelines for LLM-powered applications.
• Implement prompt engineering, retrieval-augmented generation (RAG), and model evaluation workflows.
• Collaborate with product, data, and engineering teams to integrate LLMs into production systems.
• Monitor model performance, latency, and cost in live environments.
• Stay up to date with advances in LLM architectures, tooling, and best practices.

Requirements:

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow).
• Hands-on experience working with LLMs and foundation models.
• Understanding ...