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Job listing

San Francisco, United StatesNot Disclosed

Staff Backend Engineer at fast-growing Conversational AI SaaS

Are you ready to architect the future of financial services? Join one of Silicon Valley’s fastest-growing AI startups as a Staff Backend Engineer. You will lead the development of a mission-critical Core AI platform that empowers nearly 100 financial institutions to scale efficiently and improve customer wellness. If you thrive on building high-performance distributed systems and want to work at the intersection of fintech and cutting-edge conversational AI, this is the career-defining opportunity you’ve been looking for.

Overview

Role overview

You will lead the development of a high-scale Core AI platform designed for global financial institutions. This role involves architecting robust backend systems that power sophisticated conversational interfaces, ensuring seamless integration and high performance. You will play a pivotal role in scaling technology that helps millions of users achieve better financial wellness through automation.

Company

About the company

Fast-growing Conversational AI SaaS

Responsibilities

What you will do

  • Architect and maintain the core backend services powering the primary AI engine.
  • Collaborate with product and data teams to implement complex integrations and workflows.
  • Drive engineering excellence by mentoring senior engineers and setting high technical standards.

Candidate profile

Who this is a fit for

  • Extensive experience in backend engineering with a focus on AI or distributed systems.
  • Proven track record of scaling enterprise SaaS platforms for large-scale corporate clients.
  • Strong expertise in modern backend languages and cloud-native infrastructure environments.

What makes it remarkable

Why this role is remarkable

  • Work at the forefront of the AI revolution within a high-growth fintech environment.
  • Join a company recently recognized as a top-tier fastest-growing Silicon Valley startup.
  • Impact nearly 100 financial institutions by building mission-critical AI infrastructure at scale.

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