Software Engineer (Backend)

• We're looking for Backend Software Engineers 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.

• 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

• 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 These systems are notoriously complex, outdated, and painful to navigate, and this company is fixing that with agentic AI.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.

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* 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. * Already deeply embedded within one major US industry and expanding rapidly into another highly regulated sector, the business is helping organisations streamline operations, improve responsiveness, and materially reduce administrative workload. * Backed by leading global investors, they are now scaling aggressively across both product and engineering.