AI Engineer – Advanced LLM and Agent Systems

About the role

Join a forward‑thinking financial services organisation to design, develop, and optimise cutting‑edge AI agent systems that power real‑world business applications. You will work with the latest large language model (LLM) technologies, agent frameworks, and tool integrations to deliver scalable, high‑impact solutions.

Key responsibilities

• Design and implement AI agent and multi‑agent architectures for complex business use cases.
• Build LLM‑powered applications featuring advanced reasoning, planning, memory, and execution capabilities.
• Integrate agents with APIs, databases, search platforms, and external services.
• Architect robust context management and workflow orchestration using modern agent frameworks.
• Research and evaluate emerging AI, LLM, and agent technologies to enhance existing products.

Required profile

• Master's or PhD in Computer Science, Data Science, Statistics, or a related discipline.
• Proven experience building AI agent systems and LLM‑based applications beyond traditional chatbots.
• Strong understanding of agent architectures, tool calling, function calling, memory management, and workflow orchestration.

Required skills

• Hands‑on experience with frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, or similar ecosystems.
• Deep knowledge of LLM concepts including Retrieval‑Augmented Generation (RAG), agentic reasoning, NLP, model behaviour, and system integration patterns.

What we offer

• Opportunity to work on innovative AI products using the latest agent and LLM technologies.
• Competitive salary and benefits package with strong career development prospects.