AI Engineer

AI Engineer role

We are partnered with a global investment firm to hire an AI Engineer within their Development \& Engineering team. This role sits at the heart of the organization's push into applied AI, building tools that directly support front-office investment teams, quants, and traders.

Key Responsibilities

• Designing and building collaborative, autonomous multi-agent systems (ideally using LangGraph) that coordinate complex investment workflows
• Developing multi-step, retrieval-augmented generation (RAG) pipelines that integrate structured and unstructured company data
• Building and enhancing modules within core applications used by front-office investment teams
• Partnering with quants and traders to support a quantitative trading and risk optimization platform
• Prototyping and integrating cutting-edge techniques from the latest LLM research (OpenAI, Microsoft, Anthropic)
• Designing conversational memory and long-term context solutions using semantic retrieval and extended-context models
• Owning deliverables end-to-end, from stakeholder requirements through to deployment in a regulated, enterprise environment

Essential experience

• Minimum 5 years in enterprise-grade development roles, including 2+ years in applied AI/LLM projects
• Strong Python skills, with hands-on use of LLMs (GPT-4, Claude) in production pipelines
• Experience with LangChain/LangGraph or similar frameworks for orchestrating generative and agentic workflows
• Practical experience building RAG pipelines and working with vector/semantic search
• Familiarity with CI/CD, containerization (Docker), and orchestration (Kubernetes) in regulated environments
• Bachelor's or Master's in Computer Science or a related discipline (or equivalent experience)
• Generative AI experience specific to financial services — trading, compliance, or customer support (fixed income, FX, or credit exposure a plus)
• Fine-tuning/adapting LLMs using modern techniques (LoRA, PEFT)
• Experience with agent frameworks such as OpenAI's Agents SDK