Full-Stack EngineerWe're seeking a Full-Stack 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. 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 at the intersection of infrastructure, developer experience, and AI applications. The ideal candidate is a talented full-stack developer, strong collaborator, and someone who enjoys working across the stack, cares deeply about developer workflows, and is excited to help define the future of AI adoption.Key ResponsibilitiesDesign, build, and maintain web applications and tools for AI model deployment, monitoring, and performance optimizationDevelop clean, scalable, and robust APIs powering AI agents, workflows, and user-facing systemsCollaborate with infrastructure engineers to integrate backend systems with deployment and orchestration pipelinesOptimize the performance and usability of web interfacesDrive code quality through automated testing, CI/CD, and code reviewsContribute to architecture and design decisions that shape our platform's long-term directionIdentify and resolve technical debt and improve system reliability in production systemsQualifications5+ years of industry experience in full-stack or backend engineeringBachelor's or Master's degree in Computer Science, Computer Engineering, or equivalentFluent in TypeScript and Python, expert with React/Next.jsStrong backend experience with FastAPI or similar Python frameworksProven expertise in delivering production-scale full-stack applicationsProficiency in designing data models, writing SQL, and working with PostgreSQLDeep understanding of modern web frameworks and component-driven architectureStrong API design experience across gRPC/REST/GraphQL in production systemsSolid foundation in cloud-native developmentFamiliarity with OpenTelemetry tracing, metrics, and structured loggingKnowledge of web security, authentication, RBAC, and multi-tenant SaaS systemsPreferred ExperienceFamiliarity with LLM-based workflows, tool invocation, or agentic systemsFamiliarity with Kubernetes for container orchestration, including deploying, scaling, and managing containerized applications in production environmentsHave worked in a startup or fast-paced environments with ownership and ambiguityBuilt developer-facing SDKs/CLIsPassion for developer experience and enabling AI adoptionBenefitsFlexible working hoursDaily lunch and dinner provided; unlimited snacks and beveragesSupportive and highly collaborative work environmentHealth check-up support and top-tier equipment/hardware supportA front-row seat to the generative AI infrastructure revolutionCompetitive compensation, startup equity, health insurance, and other benefits.About FriendliAIFriendliAI is building the world's best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale.
We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 500,000 open-source models.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 engine, we are building a platform that the AI industry can actually rely on.