interface.ai is seeking to transform the banking experience by providing hyper-personalized, secure, and seamless interactions through its AI platform, aiming to improve operational efficiencies and drive revenue growth. The Staff Engineer for Sphere will be instrumental in evolving the flagship conversational AI platform that powers these user-facing AI experiences in financial services.
Requirements
- 8+ years of experience building backend or platform systems at scale, ideally in real-time or user-facing environments
- Deep understanding of asynchronous architecture, distributed systems, and event-driven orchestration
- Experience delivering production systems with real-time performance, stateful flows, and strong reliability guarantees
- Expertise in one or more backend stacks such as Node.js, Go, or Python, with emphasis on performance and maintainability
- Track record of working across product and infra teams to build secure, extensible, and AI-enabled systems
- Experience with speech or voice systems, LLM-based agents, or multi-modal interface design
- Familiarity with memory frameworks, dialogue management, and inference orchestration at scale
Responsibilities
- Lead architecture and delivery of high-scale, low-latency backend systems supporting multimodal conversational agents (voice and digital)
- Build and maintain orchestration logic, memory frameworks, and dynamic routing for real-time, multi-turn AI interactions
- Design extensible APIs and interaction models that integrate with tools, transactions, and domain-specific workflows
- Collaborate with ML and infrastructure teams to productionize speech models, reasoning systems, and aligned LLM capabilities
- Drive improvements in latency, observability, fault-tolerance, and personalization across conversational surfaces
- Influence technical strategy, mentor engineers, and uphold engineering excellence across product lines
- Ensure compliance, auditability, and security are first-class considerations in all components and designs
Other
- Strong product instincts and a desire to contribute to platform-level thinking for conversational UX
- Background in regulated domains or enterprise-grade infrastructure design (security, logging, compliance)
- Ability to mentor engineers and uphold engineering excellence across product lines
