Generative AI Engineer

Our client, a global alternative capital investor, is building a dedicated AI Engineering capability to productise machine learning and deploy AI at scale across its organisation and portfolio ecosystem.

As an AI Engineer, you'll take cutting-edge models — LLMs, NLP, multimodal — and turn them into secure, scalable and high-performing solutions that automate intelligence and enhance human judgement.

What you'll build

• LLM-powered research copilots and knowledge automation tools
• NLP and retrieval-augmented generation (RAG) pipelines
• ML systems deployed with robust CI/CD and MLOps principles
• Cloud-native inference frameworks optimised for latency and scale

You'll bring experience in

• Python, vector databases, embeddings, transformers
• PyTorch or TensorFlow, API deployment
• Docker, Kubernetes, cloud (AWS/Azure/GCP)
• Observability, performance tuning, and model lifecycle management

Experience working with enterprise security, compliance or regulated data environments is advantageous.

If you're excited by building AI products that get used — not just prototyped — this role is for you.