AI Engineer

• Train, fine-tune, and evaluate large-language / foundation models; apply parameter-efficient techniques, reinforcement learning, and prompt engineering.
• Build and enhance memory and context management systems, manage embeddings and retrieval pipelines.
• Integrate structured knowledge sources like knowledge graphs and ontologies to improve reasoning and reduce hallucinations.
• Develop pipelines for ingesting and processing unstructured and multi-format data types, including parsing, embedding, indexing, and retrieval.
• Optimise inference and system performance to reduce latency and increase throughput; design efficient prompt pipelines.
• Define and implement monitoring and evaluation frameworks tracking accuracy, drift, error rates, and user satisfaction.
• Collaborate with engineers, product managers, and UX teams to convert experiments into scalable features.
• Stay hands-on: write code, prototype solutions, and contribute directly to implementation (including some Java).

AI Engineer – Emerging Technologies

Founding AI Engineer

AI Engineer – Platform

Founding Product Designer

AI Specialist

Senior Applied AI Engineer