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RadixArk

Open-source AI infrastructure for large-scale inference

Member of Technical Staff - Backend/API Platform

Backend EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 4 years of experience building production backend systems, APIs, or platform infrastructure.
  • A bachelor's or master's degree in Computer Science or Engineering, or equivalent industry experience.
  • Strong proficiency in Python, Go, or Rust, with production-quality coding standards.
  • Experience designing and building REST/gRPC APIs at scale.
  • A solid understanding of distributed systems, databases, caching, and message queues.
  • Experience with authentication, authorization, rate limiting, and multi-tenancy.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure, and Kubernetes.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, or DataDog.

Responsibilities

  • Design and build production APIs for SGLang and Miles, including REST/gRPC endpoints, client SDKs, and API versioning.
  • Implement authentication, authorization, and rate-limiting systems for multi-tenant deployments.
  • Build control-plane infrastructure for job scheduling, resource allocation, and model deployment management.
  • Create monitoring, logging, and observability systems for production inference and training workloads.
  • Design and implement billing integration, usage tracking, and quota management.
  • Build management dashboards and admin tools for cluster operations.
  • Ensure API reliability, performance, and security at scale.
  • Implement multi-tenancy isolation and security boundaries.
  • Create deployment automation, CI/CD pipelines, and rollback procedures.
  • Write comprehensive API documentation and integration guides.
  • Partner with Systems Engineers to optimize end-to-end latency from the API to the serving layer.
  • Debug production issues and implement reliability improvements.

Desired Qualifications

  • Understanding of machine learning serving infrastructure or high-throughput systems.

About the Company

RadixArk

Open-source AI infrastructure for large-scale inference

RadixArk develops large-scale AI infrastructure for training and deploying models. Its core offering is the open-source SGLang engine that accelerates model inference, complemented by Miles, an open-source framework tailored for large-scale reinforcement learning and post-training tasks. The company provides managed infrastructure and production-grade tooling for model inference and post-training, with additional commercial products built on top of its open-source foundations. Revenue comes from managed hosting services and other paid offerings. Unlike many competitors, RadixArk pursues an open-core model to keep its core technology open and accessible to researchers, startups, and enterprises while monetizing via hosted services and premium tools. The goal is to democratize frontier AI infrastructure, reducing duplicated effort and enabling the AI community to train, deploy, and operate advanced models more efficiently and affordably.

Company size
51-200
Company stage
Seed
Total funding
$100M
Headquarters
Palo Alto, CA
Founded
2025

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