AI Engineer - Agentic AI Solutions

- 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 - Engage directly with business stakeholders 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 - Develop robust Python-based AI applications and agent systems - Integrate LLM capabilities into business workflows - Build agentic AI systems that can reason, plan, and execute multi-step tasks - Implement RAG pipelines for domain-specific knowledge - Work with vector databases and enterprise data sources - Integrate AI solutions with existing .NET/C# enterprise systems where required - 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