Applied AI Engineer

F2 AI; San Francisco (CA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision insurance

401(k) plan with employer match

Unlimited PTO policy

Monthly commuter stipend

Free daily lunch and fully stocked snack bar

Regular team offsites

Job summary

F2 AI is looking for an Applied AI Engineer to bridge cutting-edge AI research with practical financial applications. The role focuses on transforming how the platform understands critical financial insights, implementing systems for data extraction, and enhancing AI performance. Ideal candidates will have 3+ years of experience in AI engineering, a strong grasp of LLMs, and knowledge of financial markets. Benefits include comprehensive health insurance, 401(k) with employer match, unlimited PTO, and a collaborative team culture.

Qualifications

• 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.
• Experience with retrieval systems, embeddings, and multi-modal data processing.
• Publication record or expertise in relevant AI research is a plus.
• Entrepreneurial mindset with ability to translate cutting-edge research into practical value.
• Experience as a full-stack engineer is a plus (React/Typescript + Python/Node or similar).

Responsibilities

• Implement and adapt cutting-edge AI research to build systems for financial contexts.
• Design retrieval pipelines to extract insights from unstructured sources.
• Build workflows enabling AI systems to reason about financial relationships.
• Construct and maintain knowledge graphs capturing financial relationships.
• Create evaluation frameworks to measure AI performance.
• Implement systems ensuring traceability from AI outputs to primary sources.
• Experiment with LLM orchestration patterns for financial use cases.
• Shape technical direction and best practices for AI application development.
• Iterate with customer input to refine AI systems based on real-world usage.
• Deploy and operate production systems end-to-end.

Skills

Machine learning

AI research

Applied AI engineering

LLMs

RAG systems

Agentic AI workflows

Financial markets knowledge

Multi-modal data processing

Full-stack engineering

Job description

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

• 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)

Perks & Benefits

• Health & Wellness: Comprehensive medical, dental, and vision insurance
• Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace
• Time Off: Unlimited PTO policy—we trust you to take the time you need to recharge
• 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