Software Development Engineer III - Backend-AI

Summary

Join interface.ai, a leading AI provider for banks and credit unions, as a Software Development Engineer III. You will play a key role in developing scalable backend systems for Sphere, our flagship conversational AI platform. This role involves designing and building high-availability services, integrating backend systems with AI components, and collaborating with cross-functional teams. You will also be responsible for resolving performance bottlenecks and mentoring junior engineers. The position offers the opportunity to work on a high-impact, revenue-generating platform and contribute to the future of human-AI interaction. The ideal candidate possesses strong backend engineering experience, expertise in Node.js, and familiarity with AI infrastructure. This is a remote position based in India.

Requirements

• 4+ 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