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.
We are building an AI-native platform where agentic systems, real-time services, and distributed infrastructure converge to power intelligent financial products. We are looking for a Senior Platform Engineer who is deeply technical, AI-first by mindset, and excited to build foundational systems through code.
This is a senior individual contributor role for someone who:
- Thinks in distributed systems
- Codes extensively and confidently
- Understands AI-native architectures
- Builds durable, scalable platforms
- Raises the engineering bar for everyone around them
You will write production-grade code daily and own critical components of our core platform
What You’ll DoBuild AI-First Platform Systems- Design and implement core platforms that power multi-agent orchestration, real-time decisioning, and AI workflows.
- Build structured control layers around LLM integrations to ensure reliability and low latency.
- Develop abstractions that allow AI systems to operate safely and predictably at scale.
- Contribute to evaluation, monitoring, and guardrail systems for AI development lifecycle and agentic architectures.
- Design and build low-latency infrastructure platforms
- Optimize resource utilization and costs
- Enable streaming and event-driven platforms to be hosted
- Build fault tolerance, resiliency, and failovers.
- Enable reducing tail latency and eliminate performance bottlenecks.
- Write production-quality code in Python and at least one systems/backend language (Node.js or Go preferred).
- Review code with rigor and raise engineering standards.
- Refactor and simplify, and build abstractions over complex infrastructure systems for maintainability.
- Build reusable service frameworks and platform abstractions.
- Improve observability, logging, metrics, and tracing.
- Harden authentication, authorization, and secure service-to-service communication.
- Drive architectural improvements through RFCs and technical proposals.
- Work closely with engineers and product teams.
- Translate product needs into scalable platform capabilities.
- Build a security first mindset and frameworks to enable secure SDLC
- Support compliance, security, and governance requirements.
- 7+ years of backend or distributed systems engineering experience.
- Strong proficiency in Python and at least one backend language (Node.js or Go).
- Proven experience with observability and tracing systems (OpenTelemetry, Prometheus, Grafana).
- Experience with CI/CD pipeline design (Jenkins, GitHub Actions, ArgoCD, GitOps workflows).
- Hands-on experience with Kubernetes, Helm, Terraform, and declarative infrastructure management.
- Deep understanding of distributed systems, concurrency, and performance optimization.
- Experience building high-availability, production-scale systems.
- Hands-on experience designing APIs and microservices.
- Strong debugging skills across complex distributed environments.
- Experience deploying systems in cloud-native environments.
- Experience working with LLMs or AI-driven systems in production.
- Familiarity with agentic architectures or multi-agent orchestration.
- Experience with streaming systems and event-driven architectures.
- Experience building systems under strict latency constraints.
- Experience in fintech or regulated environments
- Build core platform systems that power one of the fastest-growing AI companies in fintech.
- Shape developer experience, infrastructure standards, and reliability practices for an AI-first ecosystem.
- Work in a high-trust, fast-growth environment where innovation meets real-world impact.
- This role directly impacts:
- Multi-agent orchestration
- Low-latency real-time systems
- Reliability of customer-facing AI
- System scalability under growth
- Compliance and security guarantee
Compensation
- Compensation is expected to be between $170,000 - $200,000. Exact compensation may vary based on skills and location.
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.
Top Skills
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
