Applied AI Engineer: Finance AI, Retrieval & Agentic Workflows
Rowspace
San Francisco (CA)
On-site
USD 120,000 - 160,000
Full time
14 days+
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Benefits offered by this job
Comprehensive medical, dental, and vision insurance
401(k) plan with employer match
Unlimited PTO
Monthly commuter stipend
Free daily lunch
Fully stocked snack bar
Regular team offsites
Job summary
Rowspace in San Francisco is looking for an Applied AI Engineer to innovate how its platform interprets financial data. You will design systems that enable AI to understand complex financial contexts, implement efficient retrieval pipelines, and build knowledge graphs. Ideal candidates will have over 3 years of experience in AI or machine learning, a solid background in LLMs, and a passion for financial markets. Rowspace offers comprehensive health insurance, a 401(k) plan, unlimited PTO, and a supportive team culture.
Qualifications
3+ years of experience in machine learning, AI research, or applied AI engineering.
Strong background in LLMs and agentic AI workflows.
Experience designing evaluation frameworks and benchmarks for AI systems.
Responsibilities
Implement cutting-edge AI research to build financial systems.
Design retrieval pipelines for extracting insights from unstructured sources.
Build workflows that enable AI systems to reason about financial relationships.
Skills
Machine learning
AI research
Applied AI engineering
LLMs
RAG systems
Agentic AI workflows
Retrieval systems
Multi-modal data processing
Full-stack development
Job description
Rowspace in San Francisco is looking for an Applied AI Engineer to innovate how its platform interprets financial data. You will design systems that enable AI to understand complex financial contexts, implement efficient retrieval pipelines, and build knowledge graphs. Ideal candidates will have over 3 years of experience in AI or machine learning, a solid background in LLMs, and a passion for financial markets. Rowspace offers comprehensive health insurance, a 401(k) plan, unlimited PTO, and a supportive team culture.