AI Engineer

About the role

We are seeking an experienced AI Engineer to join a leading global investment house embarking on an ambitious AI transformation programme . This is a high-impact contract role focused on building end-to-end agentic AI and LLM-based solutions that solve real business problems across trading, operations, research, and front-office functions. You'll work directly with business stakeholders to understand workflows, design intelligent automation solutions, and rapidly prototype working AI systems that deliver measurable value.

Responsibilities

• AI Solution Design & Delivery
• Build end-to-end agentic AI and LLM-based solutions from concept to deployment
• Design AI architectures that map to real business problems in investment banking
• Rapidly prototype and iterate AI solutions based on stakeholder feedback
• Move quickly from business brief to working solution - velocity is critical
• Own delivery independently with minimal supervision
• Business Engagement & Requirements:
• Engage directly with business stakeholders (traders, analysts, operations, research teams) to understand workflows and pain points
• Translate business requirements into AI solution designs
• Demonstrate AI capabilities and educate stakeholders on art-of-the-possible
• Gather feedback and iterate solutions based on real user needs
• Communicate technical concepts to non-technical business audiences
• Technical Implementation:
• Develop robust Python-based AI applications and agent systems
• Integrate LLM capabilities (OpenAI, Anthropic, Azure OpenAI) into business workflows
• Build agentic AI systems that can reason, plan, and execute multi-step tasks
• Implement RAG (Retrieval-Augmented Generation) pipelines for domain-specific knowledge
• Work with vector databases and enterprise data sources
• Integrate AI solutions with existing .NET/C# enterprise systems where required
• Innovation & Best Practices
• Stay current with rapidly evolving LLM and agentic AI landscape
• Recommend appropriate AI frameworks and tools for different use cases
• Establish best practices for responsible AI deployment in regulated environment
• Balance innovation speed with security and compliance requirements
• Essential Skills & Experience
• AI & LLM Expertise
• Proven experience building end-to-end agentic AI or LLM-based solutions in production environments
• Deep understanding of LLM capabilities and limitations - knows when AI is (and isn't) the right solution
• Experience designing AI solutions that map to real business problems , not just technical demos or proof-of-concepts
• Track record of delivering working AI solutions that create business value
• Technical Skills
• Strong Python development skills - production-quality code, not just notebooks
• Ability to architect and build complete AI applications end-to-end
• Experience integrating AI capabilities into existing enterprise systems
• Understanding of software engineering best practices for AI systems
• Desirable Skills & Experience
• LLM & AI Frameworks
• Experience with specific LLM providers (OpenAI, Anthropic, Azure OpenAI)
• Familiarity with agent frameworks such as LangChain, LlamaIndex, AutoGen, or similar
• Experience building multi-agent systems and orchestration workflows
• Knowledge of prompt engineering and optimization techniques
• Technical Depth
• C# / .NET background for enterprise integration in financial services
• Experience with RAG pipelines and vector databases (Pinecone, Weaviate, ChromaDB, etc.)
• Understanding of embedding models and semantic search
• Knowledge of fine-tuning and model customization approaches

Additional Information

Artificial Intelligence Engineer McCabe & Barton London Area, United Kingdom (Hybrid) Save Apply AI Engineer - Agentic AI & LLM Solutions Leading Investment House | London/Hybrid | Contract | Competitive Day Rate

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