As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a typical week, you might build and productionize an agent in response to customer feedback, design evaluation frameworks for AI performance, and implement advanced retrieval systems to make the most of AI for finance workflows.
What You'll DoImplement 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
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
Interest or understanding of financial markets, investment processes, or quantitative finance (or strong interest in learning)
Experience with retrieval systems, embeddings, and multi-modal data processing
Publication record or demonstrated expertise in relevant AI research areas is a plus
Entrepreneurial mindset with ability to translate cutting-edge research into practical business value
Experience as a full-stack engineer is a plus (React/Typescript + Python/Node or similar)
Health & Wellness: Comprehensive medical, dental, and vision insurance
Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace
Food & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office
Team Culture: Regular team offsites to bond and strategize away from the desk
Skills Required
- 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
- Interest or understanding of financial markets, investment processes, or quantitative finance (or strong interest in learning)
- Publication record or demonstrated expertise in relevant AI research areas
- Entrepreneurial mindset with ability to translate research into business value
- Experience as a full-stack engineer (React/TypeScript + Python/Node or similar)
What We Do
Rowspace is an AI software company that helps investment firms turn siloed institutional data—such as memos, models, investment committee notes, emails, deal history, trading data, and financial records—into a bespoke layer of trusted intelligence. Its platform models how each firm evaluates information, reconciles conflicting data, and supports complex analytical and decision-making workflows across credit, private equity, and other investment strategies.
