Architect and implement scalable backend services and multi-tenant SaaS systems
Design, deploy, and operate distributed services in Kubernetes-based cloud environments
Design and operate high-throughput data pipelines (batch and streaming)
Build APIs and services integrating LLM inference, retrieval systems, and knowledge graphs
Productionize research-grade AI systems into reliable distributed systems
Що очікуємо
7+ years of backend engineering experience
Strong proficiency in Python and extensive experience building production-grade backend systems
Strong experience with data pipelines and SaaS architectures
Strong experience building distributed systems and cloud-native applications
Strong hands-on experience with Kubernetes in production environments. Candidates should be comfortable deploying, operating, scaling, and troubleshooting distributed applications on Kubernetes and have practical experience with its core ecosystem (networking, storage, observability, autoscaling, and CI/CD integration)
Що пропонуємо
Go and/or Scala experience
Hands-on experience with LLM systems (RAG, model serving, evaluation)
Experience with knowledge graphs, vector databases, or hybrid retrieval architectures