Join a dynamic financial technology team as an Applied AI Engineer, where you'll transform cutting-edge AI research into practical systems that deliver critical financial insights. You'll build agentic workflows, retrieval pipelines, and knowledge graphs to enhance investment research, due diligence, and portfolio monitoring. This role offers hands-on ownership of production AI systems with direct customer impact in a fast-paced environment.
Key Responsibilities:
- Implement and adapt cutting-edge AI research to build systems that understand financial context and business concepts
- Design retrieval pipelines that extract and synthesize insights from unstructured sources like PDFs, emails, and presentations with intelligent conflict resolution
- Build agentic workflows that enable AI systems to reason about financial relationships, perform benchmarking, and conduct comparative analysis
- Construct and maintain knowledge graphs that capture complex financial relationships, entity connections, and market dynamics
- Create evaluation frameworks to measure and improve AI performance across investment research, due diligence, and portfolio monitoring tasks
- Design and implement systems that maintain traceability from AI outputs to primary sources
- Experiment with the latest LLM orchestration patterns and context management techniques for financial use cases
- Deploy and operate production systems end-to-end, ensuring reliability, performance, and maintainability
3+ years of experience in machine learning, AI research, or applied AI engineering
Strong background in LLMs, RAG systems, and agentic AI workflows
Experience designing evaluation frameworks and benchmarks for AI systems
Experience with retrieval systems, embeddings, and multi-modal data processing
1-10 years of experience in applied AI or ML engineering, ideally 3-7 years
Built and productionized AI/ML systems, particularly LLM applications or agentic workflows
Interest or understanding of financial markets, investment processes, or quantitative finance
Preferred:
Publication record or demonstrated expertise in relevant AI research areas
Entrepreneurial mindset with ability to translate cutting-edge research into practical business value
Experience as a full-stack engineer with React/TypeScript, Python/Node or similar
Degree from a top 25 CS program
Experience at an early-stage, high-growth startup