Backend Engineer - AI Native

As Backend Engineer, you will help build the foundations of an AI-native platform designed for the world's largest enterprises. You’ll join a small, high-caliber team responsible for scalable, high-performance backend systems and AI infrastructure that support large LLM workloads. You’ll influence architecture and drive reliability, observability, and security from day one. This role offers meaningful ownership, cross-functional collaboration, and the chance to shape a platform with global enterprise impact.

• significant Series A backing ($60M)
• real-world enterprise impact
• complex engineering challenges
• meaningful ownership
• collaborative engineering culture
• opportunity to shape platform evolution

• Build robust, high-performance backend infrastructure to support demanding enterprise workloads
• Address high-volume LLM processing, token throughput, real-time operations and provider reliability
• Develop shared services, abstractions, and internal tools to accelerate engineering teams
• Tackle distributed systems challenges across databases, orchestration, asynchronous processing, and infrastructure reliability
• Shape technical architecture including scalability, observability, authentication, performance and resilience
• Raise the engineering bar by promoting strong practices and production-ready design

• 3+ years of backend engineering experience with exposure to infrastructure or platform engineering
• Strong fundamentals and ability to design scalable, production-ready systems
• Experience with distributed architectures, PostgreSQL, queueing systems and large-scale data processing
• Solid understanding of performance optimization, benchmarking and reliability
• Interest in or experience with LLM infrastructure and AI-native tech
• Ownership across APIs, infrastructure, databases and backend services
• Pragmatic approach balancing technical excellence with delivery

• curiosity
• technical ambition
• ownership mindset
• Kotlin and Java ecosystem
• PostgreSQL
• distributed architectures