Teams at FriendliAI

Design, build, and maintain agent APIs and production agent applications for document understanding, advanced RAG, and customer support automation. Integrate open-source models, collaborate with backend and infra for deployment and monitoring, and ensure APIs are robust, scalable, and developer-friendly.

Own and evolve core backend microservices for an AI inference platform: build production-grade APIs, multi-tenant SaaS features (auth, RBAC, billing), design OLTP/OLAP data models, collaborate on multi-cloud orchestration, ensure reliability/performance, and drive engineering quality through testing and CI/CD.

Design, implement, and optimize high-performance GPU kernels (GEMM, attention, routing), develop CUDA/ROCm C++ code including low-level assembly, implement reduced-precision/quantized kernels (FP8/FP4), benchmark and ensure parity across NVIDIA and AMD, contribute to GPU libraries, accelerate multi-modal pipelines, and integrate next-generation GPU features into production inference engine.