Staff Engineer

Interface AI•Palo Alto, CA

3d•$310,000 - $340,000•Onsite

About The Position

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.

Requirements

8+ years production engineering with 3+ years at senior/staff level influencing system-wide technical decisions.
Have built and owned at least one large-scale distributed system (10M+ users, sub-second latency, multi-service).
Deep expertise in either: (a) AI/ML systems (LLM serving, evaluation frameworks, agent runtimes, RAG at scale) or (b) high-scale data infrastructure (real-time aggregation, streaming, event-driven architecture).
Extreme AI fluency. Not just using tools — has strong opinions about model architectures, evaluation methodologies, and where the AI capability curve is heading.
Technical leadership through influence, not authority. Can get senior engineers aligned on an approach through clarity and evidence.

Nice To Haves

Top 20 CS degree (or Master's/PhD in relevant field) + startup experience.
Exception: deep open-source contributions or significant published technical work.

Responsibilities

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.
Recruit. The best staff engineers attract senior engineers. Bring your network. Be the person others want to work with.
Ship code. Staff at BankGPT is not an advisory role. You write code, review code, and debug production issues.
Collaborate directly with OpenAI researchers and other frontier AI leaders to bring the latest breakthroughs in agents, reasoning, and model capabilities into production at scale.