Applied AI Engineer

Rowspace is a company focused on transforming financial insights through AI technology. As an Applied AI Engineer, you will implement advanced AI systems to analyze financial data, design retrieval pipelines, and create evaluation frameworks to enhance AI performance in finance workflows.

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 (PDFs, emails, 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
• Shape technical direction and best practices for AI application development at Rowspace
• Iterate rapidly with direct customer input, continuously refining AI systems based on real-world usage and feedback
• Deploy and operate production systems end-to-end, with strong ownership over reliability, performance, and maintainability across the stack