Senior Applied AI Engineer

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

• 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

What You Have

• 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)

Seniority

• 1 -​ 10 years of experience in software engineering working on applied AI;​ ideally 3-​7 years of experience but open to junior (1 YoE) to very senior (L7/senior staff range) candidates.​

Work experience

• Built and productionized AI in a core product as a software engineer at top AI-​native startups like Harvey,​ Rogo,​ Sierra,​ Decagon (looking for experience working with LLM applications or agentic workflows)

Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.

• Full-​stack engineering experience (e.​g.​,​ React/TypeScript,​ Python/Node).
• Experience at an early-​stage,​ high-​growth startup.​ (MUST HAVE)

Education

• Degree from a top 25 CS program (MUST HAVE)
• Research publications in relevant area

Hard skills

• Strong background in LLMs,​ RAG,​ and agentic AI workflows.​ (MUST HAVE)
• Fine-​tuning models for specific outputs
• Experience with retrieval systems,​ embeddings,​ and knowledge graphs.​(MUST HAVE)

Soft skills

• Clear,​ compelling motivation for joining an early-​stage (Series A) startup.​

Miscellaneous

• Note:​ engineers based in NYC should have 4-​5+ years of experience unless they have experience working at a strong startup/have a top 25 CS degree

Salary

$150K - $300K

Equity

Competitive equity

On-site work policy

5 days in-office in San Francisco, CA or New York, NY.

Visa sponsorship available

Visa sponsorship and transfers are available.