Software Engineer - Full Stack

About FriendliAI FriendliAI is the fastest inference cloud for agents, built to run frontier open-weight models at scale in production. It delivers up to 7x faster output token speed, up to 90% lower inference costs, and 99.99% uptime across the most demanding agent workloads — long-context inference, real-time streaming, and accurate tool calling. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference stack, we are building the platform teams can actually rely on. About the Role We're seeking a Full-Stack Software Engineer to design, build, and scale our web platform, which serves as the core interface for deploying multimodal models, observing workloads, and building agent workflows. You'll own how customers experience the platform end-to-end- signing up, authenticating, managing access across an organization, and understanding what they're being billed for - from the services and data models through to the interface. In this role, you'll work closely with product, infrastructure, and design teams to create high-performance, developer-friendly, and enterprise-ready tools. We are looking for a hands-on engineer who is eager to work across the surfaces of our application — authentication and access control, billing and usage, and the model deployment and inference features cu [... source excerpt omitted ...] correctness matters, is comfortable carrying a feature all the way to the UI, cares deeply about developer workflows, and is excited to help define the future of AI adoption. Key Responsibilities Design, build, and maintain web applications and tools for AI model deployment, monitoring, and performance optimization Own authentication, organization management, and billing end-to-end. Develop clean, scalable, and robust APIs powering AI agents, workflows, and user-facing systems Collaborate with infrastructure engineers to integrate backend systems with deployment and orchestration pipelines Drive code quality through automated testing, CI/CD, and code reviews Contribute to archi [... source excerpt omitted ...] rience in backend or full-stack engineering, with meaningful time spent on backend systems Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent Production experience with authentication and authorization — SSO/OAuth2/OIDC, RBAC, API keys, and multi-tenant isolation Experience building billing or usage-metering systems: usage-based or subscription pricing, entitlements, quotas, or payment integration Fluent in Python and TypeScript; proficient with React/Next.js Strong backend experience with FastAPI or similar Python frameworks Proficiency in designing data models, writing SQL, and working with PostgreSQL; familiarity with OLAP systems such a