At a Glance
- Tasks: Design and build innovative AI solutions that tackle real business challenges.
- Company: Join a leading global investment house with a focus on AI transformation.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Fast-paced environment with a chance to work on high-impact projects.
- Why this job: Make a significant impact in the finance sector using cutting-edge AI technologies.
- Qualifications: Experience in AI development, particularly with Python and LLM solutions.
The predicted salary is between 81000 - 99000 £ per year.
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.
Key Responsibilities:
- 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:
- 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:
- 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
AI Engineer employer: eFinancialCareers
As a leading global asset manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to work with cutting-edge AI tools that enhance their skills and productivity. Join us to be part of a team that not only drives success but also prioritises employee well-being and growth in a vibrant city.
