AI Infrastructure Engineer

WHO WE ARE

Percepta's mission is to transform critical institutions with applied AI. We care that industries that power the world (healthcare, manufacturing, energy) benefit from frontier technology.

We collaborate with industry-leading customers to drive AI transformation. We bring:

- Forward-deployed expertise in engineering, product, and research

- Mosaic, our in-house toolkit for rapidly deploying agentic architectures

- Strategic partnerships with Anthropic, McKinsey, AWS, and the General Catalyst portfolio

Our team is a fast-growing group of Applied AI Engineers, Embedded Product Managers, and Researchers motivated by getting frontier AI into the places that actually run the world.

Percepta is a direct partnership with General Catalyst.

ABOUT THE ROLE

We're hiring an AI Infrastructure Engineer to own the infrastructure, deployment, and operational reliability that powers Percepta's AI systems, including the autonomous agents at the core of what we ship.

Part of the work is hardening what exists: tightening our Terraform footprint, strengthening deployment pipelines, bringing more rigor to how we manage infrastructure across regions and providers. Part of it is building what's missing. And part of it is genuinely new territory, figuring out what SRE means when the systems you're operating make autonomous decisions.

The infrastructure patterns for the agentic systems of the future don't exist yet. You'll help define them.

WHY THIS IS DIFFERENT

- You're deploying autonomous systems. The infrastructure contract changes when your workloads have agency.

- Observability means understanding why an agent made a decision, not just whether a pod is healthy.

- The gap between research and production is real here. Our teams move optimization algorithms and AI systems from research environments into production, and you'll be part of that handoff. MLOps experience isn't required, but you'll be closer to that boundary than most infra roles.

- S...