Our client is seeking a Senior AI Engineer to join its Risk Technology organisation. The role focuses on designing, building and operating production‑grade agentic systems that support mission‑critical workflows within a highly regulated environment. This is a hands‑on engineering position with significant ownership across system design, reliability and delivery.
Responsibilities
Designing, building and operating agentic AI systems using Python
Developing agent workflows using frameworks such as LangGraph or equivalent stateful orchestration approaches
Designing and implementing context management strategies across multi‑step and long‑running agent executions
Building and maintaining RAG pipelines leveraging structured, semi‑structured and unstructured data sources
Integrating AI systems with existing internal platforms through RESTful and event‑driven APIs
Defining and implementing orchestration patterns for agents, tools and workflows, including synchronous, asynchronous and human‑in‑the‑loop processes
Required Skills and Experience
Minimum of 5 years’ experience in software engineering with strong Python development skills
Practical experience with LangGraph or other agentic workflow frameworks
Deep understanding of context management and MCP‑style tool protocols
Experience with RAG architectures, including embeddings and retrieval strategies
Strong understanding of workflow orchestration concepts such as state management, retries and idempotency
Strong systems design capabilities with the ability to assess scalability and failure scenarios
Excellent communication skills with the ability to explain complex technical concepts clearly and effectively
Desirable Skills and Experience
Experience working with relational databases, NoSQL databases and vector stores
Experience integrating systems using asynchronous messaging patterns, including pub‑sub events and
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