Applied AI Engineer
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At a glance
Job overview
Rowspace is hiring an Applied AI Engineer. As an Applied AI Engineer, you will bring cutting-edge AI research and engineering to Rowspace, transforming how the platform understands and surfaces critical financial insights. This role involves building and productionizing AI agents, designing evaluation frameworks for AI performance, and implementing advanced retrieval systems for finance workflows. You will shape technical direction and best practices for AI application development, iterating rapidly with customer input.
Key focus areas include 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 with intelligent conflict resolution, and Build agentic workflows that enable AI systems to reason about financial relationships, perform benchmarking, and conduct comparative analysis.
Successful candidates bring 3+ Years Machine Learning Experience, Experience Designing Evaluation Frameworks, and Entrepreneurial Mindset. Important skills include LLMs, RAG Systems, Agentic AI Workflows, Designing Evaluation Frameworks For AI Systems, Retrieval Systems, and Embeddings. Preferred (not required): Financial Markets, Investment Processes, Quantitative Finance, and React.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
BACK Applied AI Engineer ENGINEERING | San Francisco, New York City | On-site | Full-time
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 You'll Do
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Implement and adapt cutting-edge AI research to build systems that understand financial context and business concepts
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Design retrieval pipelines that extract and synthesize insights from unstructured sources (PDFs, emails, presentations) with intelligent conflict resolution
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Build agentic workflows that enable AI systems to reason about financial relationships, perform benchmarking, and conduct comparative analysis
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Construct and maintain knowledge graphs that capture complex financial relationships, entity connections, and market dynamics
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Create evaluation frameworks to measure and improve AI performance across investment research, due diligence, and portfolio monitoring tasks
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Design and implement systems that maintain traceability from AI outputs to primary sources
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Experiment with the latest LLM orchestration patterns and context management techniques for financial use cases
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Shape technical direction and best practices for AI application development at Rowspace
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Iterate rapidly with direct customer input, continuously refining AI systems based on real-world usage and feedback
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Deploy and operate production systems end-to-end, with strong ownership over reliability, performance, and maintainability across the stack
What You Have
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3+ years of experience in machine learning, AI research, or applied AI engineering
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Strong background in LLMs, RAG systems, and agentic AI workflows
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Experience designing evaluation frameworks and benchmarks for AI systems
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Interest or understanding of financial markets, investment processes, or quantitative finance (or strong interest in learning)
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Experience with retrieval systems, embeddings, and multi-modal data processing
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Publication record or demonstrated expertise in relevant AI research areas is a plus
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Entrepreneurial mindset with ability to translate cutting-edge research into practical business value
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Experience as a full-stack engineer is a plus (React/Typescript + Python/Node or similar)
Perks & Benefits
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Health & Wellness: Comprehensive medical, dental, and vision insurance
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Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace
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Time Off: Unlimited PTO policy—we trust you to take the time you need to recharge
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Food & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office
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Team Culture: Regular team offsites to bond and strategize away from the desk
You've read the whole posting — now see how you match it.