About the Role This is a founding engineering role at an AI-native fintech company building autonomous systems to manage complex financial transactions end-to-end. You will own the technical core of a product that coordinates multi-party financial workflows, models businesses, and reasons about markets at scale. Your decisions will define the architecture and capabilities of the platform from day one. What You'll Do Build intelligence that models businesses, reconciles contradictory evidence, and reasons about how decisions propagate through companies and markets. Design and ship agents that coordinate months of financial work across hundreds of counterparties, preserving context, commitments, and dependencies as conditions change. Own end-to-end architecture, evaluations, infrastructure, and product interfaces for complex AI systems. Help select technical teammates and establish engineering and operating standards for the team. Move fluidly across backend systems, applied AI, and product interfaces to turn ambiguous problems into working products. What We're Looking For 8 or more years of experience shipping difficult, production-grade systems and owning critical technical decisions. Deep expertise in applied AI, including building intelligent agents and models for complex business processes. Experience with AI components such as retrieval, memory systems, and evaluation frameworks, especially in data-intensive environments. Proven ability to own end-to-end architecture and infrastructure for complex AI systems. Full-stack AI engineering capability: comfortable working across backend, applied AI, and product layers. Strong commitment to engineering craftsmanship, system reliability, and measuring whether systems actually work. Experience building in greenfield or first-principles environments is a strong plus. Background in financial services, investment banking, or other complex professional workflows is an advantage. Compensation & Benefits Base salary: $180,000 to $300,000 USD annually. Equity included. Visa sponsorship is not available. Location On-site in San Francisco, CA, United States.
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