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Data Engineer

Durlston Partners
San Francisco Bay Area
Full-time
Applications go directly to the hiring team

Full Description

Data Engineer — Vertical AI Platform (Series E) | San Francisco

"AI that doesn’t just assist — it runs real-world operations."

ABOUT THE COMPANY

* We’re working with a high-growth, Series E AI company building operational AI software for large, complex service industries.

* Their platform deploys conversational and workflow-driven AI to automate front-office and operational processes across multiple channels — including voice, messaging, and web — at significant scale.

THE ROLE

* We’re looking for a Data Engineer with 2+ years of experience to help build and scale the core infrastructure behind high-volume, real-world AI systems.

* You’ll work on the systems that power millions of daily interactions, designing APIs, data pipelines, and integration layers that sit at the heart of the platform.

* This is a high-ownership environment with direct exposure to product, AI, and infrastructure challenges from day one.

WHAT WE’RE LOOKING FOR

* 2+ years of software engineering experience

* Degree in Computer Science, Mathematics, Physics, or related STEM field

* Strong backend fundamentals (Python, Java, C# or C++)

* Solid understanding of OOP and system design principles

* Bonus: experience working with AI/ML systems or high-throughput production environments

WHY JOIN

* Work on real, production-grade AI systems operating at scale

* Exposure to complex, regulated industries with meaningful impact

* Strong growth trajectory with significant investment backing

* High ownership, fast-moving engineering culture

* Competitive compensation + equity

For the average American, housing and healthcare account for ~40% of household spending. These systems are notoriously complex, outdated, and painful to navigate, and this company is fixing that with agentic AI. If you're a backend engineer who wants your work to matter at scale, we'd love to hear from you.

Applications go to the hiring team directly