At Arcus, we’re redefining how businesses operate with AI. Arcus helps enterprises build AI workflows that understand complex data and perform multi-step reasoning to transform critical, complex business processes. We bridge the gap from the potential of AI to how businesses actually do work, to let them focus on the work that matters most.
We provide our customers capabilities for understanding complex data alongside agentic capabilities such as doing math and browsing the web. This coupled with the ability to put it together in an end-to-end workflow enables our customers to build and run business critical workflows on Arcus. Under the hood, this leverages systems for planet-scale data ingestion and indexing and compound AI systems that can reason over multi-step tasks. We’re pushing forward the state-of-the-art of agentic, multimodal AI for modern businesses.
We’re extremely well-funded and backed by top tier VCs and angel investors who share our mission and we’re based out of our Flatiron office in NYC. Arcus is growing rapidly across financial services, insurance, logistics and other verticals and we’re continuing to grow the team to keep up.
As a Senior Platform Engineer at Arcus, you will be responsible for building the core data and AI systems which power the Arcus platform. You will work across the engineering team and with our customers to build the core infrastructure that works on large scale data transformations and indexing, search and retrieval, model orchestration for compound AI systems, private cloud deployments, and more.
We use technologies like Golang, Python, gRPC, TorchServe, AWS, Docker and Kubernetes.