Staff Engineer at Interface AI

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

340000.0

Posted On

27 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed Systems, AI/ML Systems, LLM Serving, RAG, Data Infrastructure, Event-Driven Architecture, Technical Leadership, System Architecture, Orchestration, Multi-model Routing, Hallucination Mitigation, Real-time Aggregation, Streaming, Dynamic UI Generation, Technical RFCs, Production Engineering

Industry

Software Development

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 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. 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. What We're Looking For 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. Preferred: Top 20 CS degree (or Master's/PhD in relevant field) + startup experience. Exception: deep open-source contributions or significant published technical work. At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

Responsibilities

Define the technical direction for either the AI platform layer or the consumer product and data layer. Collaborate with OpenAI researchers to integrate frontier AI capabilities into a large-scale consumer banking assistant.