Software Engineer, Platform
Builds secure, scalable backend systems for contracts, payouts, fraud detection, and identity/access management on Mercor's AI platform. Requires 4+ years experience with production systems at scale and strong ownership.
Founding Engineer
Architects and owns core backend systems for real-time AI voice agents in consumer lending, focusing on low-latency performance, scalability with Kubernetes, and self-improving AI. Requires strong Python backend expertise and distributed systems knowledge.
130k – 200kSan Francisco, CABackend EngineeringOnsite
About the role
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 (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
Skills
PythonKubernetesDistributed SystemsEvent-Driven ArchitectureDatabase OptimizationAI/MLReal-Time Systems
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