Staff AI / GenAI Engineer – Platform Engineering
Our client, a leading global banking organisation, is building a next-generation AI Platform Engineering function responsible for delivering scalable AI capabilities across the business.
This is a rare opportunity to join a high-calibre engineering team at the early stages of a major enterprise AI transformation. The team is building cutting-edge GenAI platforms, automation agents, and reusable AI services that will underpin AI adoption across the organisation.
Working within a highly innovative, greenfield environment, you will help shape the architecture, tooling, and engineering standards behind enterprise-scale AI systems in a business-critical setting.
The successful candidate will be a highly hands-on engineer with strong experience building production-grade AI products and scalable cloud-based systems.
Key Responsibilities
- Build scalable AI/GenAI platform services and infrastructure
- Develop AI-powered applications, automation agents, and enterprise AI workflows
- Build RAG pipelines, vector search capabilities, and orchestration frameworks
- Develop backend services and APIs using Python
- Implement LLMOps/MLOps best practices including monitoring, evaluation, observability, and guardrails
- Design scalable solutions capable of supporting enterprise-wide adoption
- Contribute to architecture, technical standards, and platform engineering best practices
Required Experience
- Strong hands-on Python engineering experience
- Experience building and deploying AI/GenAI products in production environments
- Strong knowledge of Azure and Databricks
- Experience with RAG architectures, embeddings, vector databases, and prompt engineering
- Experience with AI orchestration frameworks such as LangGraph, LlamaIndex, or similar
- Strong backend engineering and cloud infrastructure experience
- Experience building scalable enterprise-grade systems
- Comfortable operating in fast-moving, greenfield environments
Desirable Experience
- AKS / Kubernetes
- MLflow / LLMOps tooling
- AI observability and evaluation tooling
- Customer-facing AI products or chatbots
- Financial services or regulated environment experience