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