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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.
About the Role
We are building AI-native, agentic products that redefine how customers interact with financial institutions across voice, chat, and digital channels. We are looking for a Hands-On Engineering Manager – Agentic AI Products who operates with an AI-first mindset, has deep backend systems experience, and is comfortable orchestrating multiple AI agents to ship production-grade systems.
This role requires someone who:
- Has built complex distributed backend systems
- Understands low-latency architectures (voice, telephony, streaming, chat)
- Is fluent in modern agentic AI engineering
- Thinks like a founder
- Leads by building
- Raises the engineering bar
You will architect, review, code, debug, and ship along with building your high performance engineering team.
What You’ll Do
1. Lead with an AI-First Engineering Mindset- Drive AI-first thinking across product architecture and execution.
- Embed LLMs, multi-agent systems, and structured reasoning into customer-facing workflows.
- Champion agentic engineering principles across your team.
- Evaluate and adopt emerging AI capabilities pragmatically and responsibly.
- Raise the quality bar for AI-generated and human-written code alike.
- Architect and implement systems that coordinate multiple AI agents with memory, planning, reflection, and tool use.
- Be hands-on in coding, agent loop design, evaluation, and reinforcement strategies.
- Actively participate in the code base
- Design orchestration layers that convert AI reasoning into reliable execution.
- Build control frameworks around LLMs for grounding, safety, and deterministic behavior.
- Develop evaluation pipelines to ensure agents meet production standards.
- Design distributed backend systems serving real-time voice and chat interactions.
- Optimize latency-sensitive systems across telephony, streaming, and API layers.
- Build event-driven architectures that handle high concurrency and fault tolerance.
- Implement state management and memory layers for conversational agents.
- Drive reliability, failover, and graceful degradation strategies.
- Ensure AI-generated outputs translate into robust, testable, production-quality code.
- Maintain high standards for observability, monitoring, and debugging.
- Build automation and testing strategies for agent-based systems.
- Ensure security, compliance, and safe handling of financial data.
- Create durable systems that scale with increasing AI complexity.
- Lead by example in adopting AI tooling (Cursor, Claude Code, LLM automation) to improve engineering velocity and code quality
- Demonstrate extreme ownership across product, architecture, and delivery.
- Drive clarity in ambiguous problem spaces.
- Move quickly without compromising engineering rigor.
- Build and grow a high-performance team with bias to action.
- Set culture around accountability, urgency, and craftsmanship.
Required Qualifications
- 8+ years of backend engineering experience building distributed systems.
- Strong experience with low-latency systems such as:
- Voice / telephony platforms
- Real-time streaming systems
- Chat or messaging architectures
- 3+ years working with LLM-powered or AI-driven systems in production
- Hands on experience building systems that interface with LLMs.
- 2+ years experience in engineering management or technical leadership with a proven ability to grow and mentor engineers
- Hands-on experience designing and orchestrating agentic workflows.
- Strong proficiency in Typescript and/or at least two backend languages (Node.js, Go, Java, Rust etc)
- Deep understanding of distributed systems, concurrency, and reliability.
- Experience managing engineers while remaining deeply hands-on.
- Experience deploying AI systems in cloud environments.
- Product Mindset: You care deeply about the product experience
- Experience building AI-native customer-facing products.
- Experience in Fintech or regulated environments.
- Familiarity with multi-agent architectures and reasoning frameworks.
- Experience with reinforcement learning or adaptive optimization loops.
- Experience building structured evaluation and monitoring for AI agents.
- You care deeply about engineering quality and raise the bar for everyone around you.
- You demonstrate AI-first approaches when solving problems.
- You move fast and take ownership beyond your scope.
- You operate with founder-level urgency and accountability.
- You build teams that execute with discipline and craftsmanship.
- You are comfortable orchestrating multiple AI agents to produce production-ready outcomes.
What Makes This Role Matters?
Agentic engineering is changing how products are built.
This role defines how:
- AI systems reason in real time
- Voice and chat agents operate under latency constraints
- Financial workflows become autonomous yet safe
- Multiple AI agents collaborate to produce deterministic, high-quality outcomes
You will lead the engineering effort that transforms AI from an assistant into a production-grade system embedded deeply into customer experiences.
We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role.
Compensation:
- Base Salary is expected to be between $200,000 - $240,000, plus performance bonus and equity options Exact compensation may vary based on skills and location.
The base salary range represents the minimum and maximum of the salary range for this position based at our Palo Alto headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of out competitive total rewards package, which also includes equity awards (a new hire grant), competitive health and wellness benefits.
What We Offer
- 💡 100% paid health, dental & vision care
- 💰 401(k) match & financial wellness perks
- 🌴 Discretionary PTO + paid parental leave
- 🧠 Mental health, wellness & family benefits
- 🚀 A mission-driven team shaping the future of banking
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.
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