A

AI Engineer (Senior/Staff/Principal)

all known services • United States
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Build next-generation AI-powered products and intelligent financial services. Design, build, and evaluate LLM-powered applications, agentic workflows, and production AI systems. Requires 7+ years of experience, an AI/ML background, strong Python, and hands-on LLM/RAG/classifier expertise.

Key Highlights
Onsite in San Francisco, 5 days a week
7+ years of professional experience required
Strong Python and hands-on AI application experience
Depth in LLMs, RAG, AI harnesses, or classifiers
H-1B transfers and O-1 sponsorship supported
Key Responsibilities
Design, build and evaluate applications powered by state-of-the-art LLMs.
Integrate AI models into customer-facing products, backend services and internal data workflows.
Develop AI-powered applications using techniques such as RAG, AI harnesses and classifiers.
Build and improve agentic AI systems for complex workflows.
Develop evaluation frameworks to measure model quality and performance.
Monitor AI systems and improve accuracy, latency, cost and reliability.
Establish controls that ensure AI applications operate reliably and securely in production.
Work directly with technical founders to identify and implement high-impact AI capabilities.
Technical Skills Required
Python LLMs RAG
Benefits & Perks
H-1B transfer support
O-1 visa sponsorship
All-cash compensation
Equity program planned for the future
Nice to Have
Experience deploying and maintaining production AI systems.
Experience applying AI to FinTech or financial services.
AI applications involving financial risk and fraud detection.
Full-stack software engineering capabilities.
Experience with consumer-facing AI products and agentic financial workflows.

Job Description

About the Role

We're looking for an experienced AI Engineer to help build next-generation AI-powered products and intelligent financial services. You'll work directly with the technical founders, translating state-of-the-art AI advancements into practical applications that power both customer-facing products and critical business operations. This is an opportunity for an applied AI practitioner who enjoys building, integrating and evaluating production AI systems, particularly LLM-powered applications and agentic workflows.

What You'll Do

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