Software Engineer, Platform

Description

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.

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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.

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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.

Our Values

• Relentless pursuit of excellence. We maintain high standards for our work and our people, raising the bar for ourselves and for what we can do together. We look for a track record of excellence, across any field or domain. 
• Work hard and fight to win. We operate with intensity on the edge of what is possible and work to build something we can be proud of.
• Build a revolutionary product. We are solving some of the biggest, hardest problems involved in operationalizing AI for the real world.

What You’ll Do

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.

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We use technologies like Golang, Python, gRPC, TorchServe, AWS, Docker and Kubernetes.

Key Responsibilities

• Build scalable and reliable infrastructure for large-scale data ingestion and transformation.
• Architect distributed systems that process data and orchestrate compound AI systems in scalable and highly performant ways.
• Ensure that our systems are scalable and reliable and enforce strong production hygiene and culture.
• Work closely with customers to support their critical workloads and drive the future direction of the platform.
• Define the future and culture of Arcus with your initiative and feedback.

Who You Are

• 3-5+ YOE (or faster equivalent career progression) building distributed systems for data and ML infrastructure.
• Excited to juggle multiple hats and work cross-functionally based on the needs of the business.
• Bias towards shipping rapidly and iterating with customer feedback.
• You have a demonstrated track record of excellence, across any field or domain (not necessarily related to the role).
• Exhibit a strong passion for taking ownership, continuous learning and personal growth