Artificial Intelligence Engineer

AI Engineer

Rate - £850

Hybrid working - London

What you'll do

• Design and build AI prototypes using LLMs, agentic workflows, and vector-based knowledge retrieval
• Collaborate with investment teams and data scientists to identify and scope high-impact use cases
• Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools
• Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows
• Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis

The knowledge, experience and qualifications you need

• Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases
• Experience working with or building applications around large language models (open-source or commercial)
• Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management
• Experience with cloud platforms (AWS preferred) and associated services for AI workloads
• A background in software engineering or data science, ideally in a research-driven or exploratory environment
• Strong collaboration skills and ability to work with investment stakeholders

The knowledge, experience and qualifications that will help

• Experience working with knowledge graphs or vector databases
• Experience working in an agile environment with rapid prototyping and iteration
• Exposure to front-end frameworks (e.g. React) is a nice-to-have but not required
• Interest in the evolving field of AI governance, accuracy, and explainability
• Understanding of investment data – an eagerness to learn is fine