The future of AI is inference
With the rise of agentic workflows and reasoning models, enterprises now need 100x more compute and 10x more throughput to run state-of-the-art AI models. Building robust, scalable inference systems has become a top priority—but it's also a major bottleneck, requiring deep expertise in low-level systems, snapshotters, Kubernetes, and more.
Tensorfuse removes this complexity by helping teams run serverless GPUs in their own AWS account. Just bring:
We handle the rest—deploying, managing, and autoscaling your GPU containers on production-grade infrastructure. Teams use Tensorfuse for:
We’re building the runtime layer for AI-native companies. Join us.
Investors
Agam Jain
Agam is co-founder and CPO at Whip, a social platform for AI mini-apps. He also built Tensorfuse, a serverless GPU platform on customers' own AWS used by 70+ companies. Before becoming a founder, as a Systems Engineer at Qualcomm, he filed a USPTO patent on an image upscaler that improved display quality by 30% and is being used in millions of phones powered by qualcomm snapdragon chips. He also co-authored IEEE and Elsevier papers on nanowire FET modeling from research at IIT Bombay
LinkedInSamagra Sharma
Samagra is the Co-Founder and CEO of Tensorfuse. Samagra has deep expertise in deploying production Machine Learning systems owing to his work on Multimodal Content Generation at Adobe Research and ML systems for network telemetry at UCSB. Samagra is a published AI researcher and holds a patent on Multimodal Content Generation. Additionally, Samagra authored the Java implementation of "AI: A Modern Approach," a widely used AI textbook in over 1,500 universities around the globe.
LinkedInNo applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.