Ai Engineer - London

AI Engineer
London  |  Private Markets Investment Management

About the Firm

Our client is a globally recognised leader in private markets investing with over 30 years of experience and approximately $80.bn AUM. Operating across private equity, infrastructure, real assets, and private credit, they serve institutional private wealth clients worldwide.

The Opportunity

The firm's AI Product Squad is seeking an AI Engineer to deliver production-ready AI capabilities at scale. Working alongside the AI Product Owner and cross-functional engineering colleagues, you will design, build, and operate secure, reliable, and cost-effective AI products embedded into the firm's platforms and workflows.

Key Responsibilities:

• Design and implement LLM applications, agents, and workflow automations integrated with enterprise platforms.
• Implement RAG, tool/function calling, structured outputs, orchestration, and reusable AI components.
• Define evaluation strategies and implement AI observability to monitor quality, cost, and reliability in production.
• Drive production readiness: security, performance, resilience, cost controls, logging, and incident management.
• Ensure AI solutions comply with governance, data protection, and responsible AI principles.

Knowledge & Experience Required:

• Strong Python engineering skills; experience building production-quality AI or ML-enabled applications.
• Hands-on experience with LLM frameworks (LangChain, LlamaIndex, or equivalent) and agent/RAG patterns.
• Experience with vector databases (Pinecone, Weaviate, or cloud-native), embeddings, and retrieval pipelines.
• Understanding of Transformer architectures, LLM failure modes, and engineering mitigations.
• Experience with ML frameworks (PyTorch/TensorFlow) and Microsoft Azure, including Azure AI Foundry.
• Experience with AI observability tooling (e.g. LangSmith, MLflow) and Agile delivery practices.
• Strong communication skills; comfortable working with technical and non-technical stakeholders.

Desirable: experience in financial services or other regulated environments.