Backed by Sequoia.
About the role
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 they're looking for
- 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
More about this role
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.
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...
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