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FriendliAI builds an AI inference platform designed to serve models, scale across workloads, and deliver performance, reliability, and cost efficiency. The company serves enterprise customers, ML engineers, AI platform teams, and infrastructure organizations by providing solutions such as Serverless Endpoints, Dedicated Endpoints, and Friendli Container, which allows inference engines to be deployed as Docker images in private clouds or on-premises environments. FriendliAI focuses on artificial intelligence and machine learning infrastructure, addressing challenges related to AI inference, large language models, multimodal models, routing, batching, scheduling, resource allocation, and generative AI workloads.

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About friendliai

FriendliAI builds an AI inference platform designed to serve models, scale across workloads, and deliver performance, reliability, and cost efficiency. The company serves enterprise customers, ML engineers, AI platform teams, and infrastructure organizations by providing solutions such as Serverless Endpoints, Dedicated Endpoints, and Friendli Container, which allows inference engines to be deployed as Docker images in private clouds or on-premises environments. FriendliAI focuses on artificial intelligence and machine learning infrastructure, addressing challenges related to AI inference, large language models, multimodal models, routing, batching, scheduling, resource allocation, and generative AI workloads.

The open roles indicate that FriendliAI is building product and engineering teams centered on AI infrastructure and customer deployment. The open positions include a Director of Product and a Forward Deployed Engineer. Both roles are based in San Francisco with remote work options available, pointing to a distributed or hybrid team structure. The available positions encompass senior leadership and technical execution, reflecting a need for professionals with experience in cloud infrastructure, DevOps, platform engineering, and product strategy for AI systems.

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