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Sela AI

AI-powered voice agents automate mortgage sales

Software Engineer - Generalist

Software EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Deep understanding of common software design patterns and best practices.
  • Experience using artificial intelligence coding tools or agents to ship maintainable, clean code.
  • Excellent technical communication skills.
  • Track record of owning and delivering major product features.
  • Expert knowledge of at least one major programming language.
  • Experience in high-growth startups, ideally at Seed through Series B.

Responsibilities

  • Work with the product team to translate customer requirements into highly scalable and maintainable software architecture.
  • Use artificial intelligence coding agents and internal tooling to deliver new features and improve existing code.
  • Own one or more core software components end-to-end, from architecture and implementation to reliability in production; examples include the AI-agent simulation and evaluation system, A/B testing framework, agent SMS capabilities, voice orchestration infrastructure, phone number management, outbound strategy, call scheduler and dialer, agent orchestration framework, agent management framework, and security and privacy services.

Desired Qualifications

  • Experience in high-growth startups, ideally at Seed through Series B.

About the Company

Sela AI

AI-powered voice agents automate mortgage sales

Sela AI provides AI-powered voice agents that automate mortgage sales outreach for large independent mortgage banks. The platform engages borrowers with human-like conversations, answers complex questions, qualifies leads, and transfers warm calls to licensed loan officers, while integrating with mortgage CRMs and lead sources and producing compliant call records. It charges for outcomes (funded loans) instead of software usage, emphasizing a B2B model that has shown rapid early traction and sizable monthly loan production across its client base. The goal is to scale high-level loan officer productivity and improve lead-to-lock conversion through AI-driven automation.

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