Software Development Engineer IV - Backend-AI

Summary

Join interface.ai, a leading AI provider for banks and credit unions, as a Software Development Engineer IV. You will lead the development of scalable backend systems for our flagship conversational AI platform, Sphere, handling millions of conversations and transactions. This role involves designing and building high-availability services, integrating backend systems with AI components, collaborating with cross-functional teams, and resolving performance bottlenecks. You will contribute to the orchestration logic for conversational AI, ensuring natural, secure, and context-aware interactions. The position offers the opportunity to work on a high-impact, revenue-generating platform and collaborate with top-tier AI professionals. You will help shape the future of human-AI interaction within a mission-driven company.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• 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