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.
Role – SDE IV – Backend + AI
Location: India (Remote)
Function: Engineering – Product Engineering
Reports to: Engineering Manager – Product Engineering
We are looking for a Software Development Engineer IV to join the team behind Sphere, our flagship conversational AI platform powering intelligent voice and digital assistants across financial services. Sphere handles millions of conversations, transactions, and decision-making moments—making it one of the most critical and high-revenue systems in our ecosystem.
In this role, you will lead the development of scalable backend systems that enable natural, secure, and context-aware AI interactions. You’ll work at the intersection of real-time systems, speech infrastructure, and agentic AI orchestration, helping define how end users and institutions experience AI across voice and chat interfaces.
What You’ll Do
- Design and build high-availability, low-latency services powering AI-based voice and digital agents
- Contribute to the orchestration logic that handles tool invocation, conversational memory, session management, and multi-turn logic
- Integrate backend systems with AI components such as language models, speech pipelines, and structured data sources
- Collaborate with cross-functional teams including ML, product, compliance, and UX to deliver intelligent and trustworthy user experiences
- Identify and resolve performance bottlenecks, reliability issues, and system-wide scalability challenges
- Participate in design and architecture reviews, and mentor junior engineers across the team
- Uphold engineering excellence through strong documentation, testing, observability, and DevOps practices
What You’ll Bring
- 7+ years of experience in backend engineering, ideally working on real-time or user-facing platforms
- Strong programming skills in Node.js, with deep understanding of asynchronous programming and system design
- Proven experience building and scaling distributed services, APIs, and event-driven systems
- Familiarity with infrastructure tools such as Docker, Kubernetes, and CI/CD pipelines
- Experience integrating services with data stores, message queues, and external APIs
- Exposure to conversational AI, LLM infrastructure, or voice interfaces
Bonus Points:
- Experience working on AI-enabled or ML-integrated platforms
- Understanding of compliance, security, and auditability requirements in regulated environments
- Prior experience working in fast-paced, high-growth product teams
Why Join Us?
- Work on the most impactful and revenue-generating platform in the organization
- Build infrastructure for real-time intelligent agents—across both chat and voice modalities
- Collaborate with top-tier AI researchers, designers, and engineers in a fast-moving, high-trust environment
- Help shape the future of human-AI interaction in a mission-driven company at scale
#LI-Remote #LI-SS1
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.
