What You'll Do- Architect and own core systems that power real-time AI voice and compliance workflows
- Push performance boundaries, delivering sub-700ms latency leveraging event driven architecture and parallel processing
- Deploy, operate, scale, resilient systems using Kubernetes and distributed sub-systems
- Build a self-improving AI system that improves with every customer interaction and human feedback
- Ship fast, ship right from whiteboard design to live production in bank environments.
What You Bring- Strong fundamentals in building high-performance, real-time backend systems (we work primarily in Python).
- Deep understanding of distributed systems, reliability, and fault tolerance.
- Excellent database design and performance optimization skills.
- A bias for ownership and an ability to figure things out in messy, high-velocity environments
Nice to Have- Experience with training, designing, or building production AI/ML systems
- Previous startup or founder experience.
The Interview ProcessWe respect your time. Our process is short and designed to let you showcase how you think:
- 15-min call with Talent Lead to learn more about the role
- 1-hour live coding session with Founding Engineer
- 1-day onsite with team
