Interface AI
Banking
StaffEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Engineer at Interface AI. Skills: AI/ML systems, Data infrastructure, Technical leadership. Define technical direction. Make architecture decisions”
What You'll Achieve.
Displace age-old legacy systems; Own end-to-end CX stack; Unlock $200B opportunity; Replace multiple publicly traded companies; Drive financial well-being for millions; Put financial well-being on autopilot; Ship breakthroughs into consumer product; Ship code
Industry & Context.
Hallucination mitigation; Reasoning
What They're Looking For.
Must Have
8+ years production engineering, 3+ years at senior/staff level influencing system-wide technical decisions, Built and owned at least one large-scale distributed system (10M+ users, sub-second latency, multi-service), Deep expertise in AI/ML systems (LLM serving, evaluation frameworks, agent runtimes, RAG at scale), Deep expertise in high-scale data infrastructure (real-time aggregation, streaming, event-driven architecture), Extreme AI fluency, Technical leadership through influence, not authority
Nice to Have
Top 20 CS degree (or Master's/PhD in relevant field), Startup experience, Deep open-source contributions, Significant published technical work
What You'll Do.
Define technical direction
Make architecture decisions
Push back when disagree
Drive technical clarity
Recruit senior engineers
Debug production issues
Collaborate with OpenAI researchers
Bring breakthroughs into production
How You'll Work.
Team & Collaboration
Work with product team; Collaborate with OpenAI researchers; Collaborate with frontier AI leaders
Communication Scope
Clarity and evidence
Full Job Description
Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U. S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem. KEY FACTS Base salary: $310,000–$340,000 Equity: 0.30%–0.45% (founding-team tier) Location: San Francisco or PA • 5 days in-office Experience: 8+ years, 3+ at senior/staff level with system-wide technical influence Page 13BankGPT · Recruiter Packet · Confidential Reports to: VP of Engineering / Bruce Kim (CTO) Why This Role Is Unique As a Staff Engineer at BankGPT, you sit at a rare intersection: working directly with OpenAI's research team on frontier model capabilities while shipping those breakthroughs into a consumer product that touches millions of people's financial lives. Most engineers get one or the other. Here you get both. What You'll Do Define the technical direction for a critical domain: either (a) the AI platform layer (orchestration, evaluation, multi-model routing, hallucination mitigation) or (b) the consumer product + data layer (aggregation, enrichment, real-time sync, dynamic UI generation). Make architecture decisions that affect the entire engineering team. Own technical RFCs. Set the quality bar. Be the technical peer to Bruce Kim (CTO) in your domain. Push back when you disagree. Drive technical clarity.
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