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.
About the job
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
Python, Kubernetes, Distributed Systems, Event-Driven Architecture, Database Optimization, AI/ML, Real-Time Systems
Similar jobs
Backend Engineering jobs
OnePay
United States
Builds backend services and APIs for fraud detection, identity verification, and transaction monitoring in fintech. Requires 3+ years backend experience with APIs, microservices, AWS, and Kubernetes.
Mercor
San Francisco, CA
Build and operate production backend services and agent infrastructure powering talent workflows, including orchestration, evaluation, guardrails, and auditable decision systems. The role requires 5+ years of backend engineering experience, distributed-systems expertise, and hands-on experience with production LLM applications.
Mercor
San Francisco, CA
Software Engineer building core backend systems for a high-volume AI talent marketplace, including matching, allocation, search, and real-time decisioning infrastructure. Requires strong production backend experience with high-throughput APIs and distributed systems.
Mintlify
San Francisco, CA
Build backend APIs, content pipelines, and AI retrieval infrastructure powering Mintlify’s documentation products. The role requires strong systems design, API, database, and production experience, along with product intuition and high ownership.
Bestow
United States
Build and scale Go backend services for insurance quoting and application-submission tools, collaborating across product teams and partners. The role requires 3+ years of backend development experience, distributed systems and API expertise, Docker, CI/CD, testing, and practical use of AI coding tools.