About the job
About Us
At Percepta, we are dedicated to revolutionizing vital sectors through the power of applied AI. Our goal is to ensure that key industries such as healthcare, manufacturing, and energy harness the benefits of cutting-edge technology.
We partner with leading organizations to facilitate AI transformation, providing:
Expertise in engineering, product development, and research
Mosaic, our proprietary toolkit designed for the swift deployment of intelligent architectures
Strategic alliances with notable entities like Anthropic, McKinsey, AWS, and the General Catalyst portfolio
Our team is a dynamic collective of Applied AI Engineers, Embedded Product Managers, and Researchers driven by the mission to integrate advanced AI into the systems that shape our world.
Percepta is a proud partner of General Catalyst.
Role Overview
We are on the lookout for an AI Infrastructure Engineer who will be responsible for the infrastructure, deployment, and operational reliability that underpin Percepta's AI systems, including the autonomous agents driving our innovations.
Your role will involve enhancing existing systems: refining our Terraform configurations, fortifying deployment pipelines, and implementing more robust management of infrastructure across various regions and providers. You will also be tasked with constructing missing components and exploring uncharted territories, defining what Site Reliability Engineering (SRE) means in the context of autonomous decision-making systems.
The infrastructure paradigms for future autonomous systems are yet to be established, and you will play a crucial role in shaping them.
What Sets This Role Apart
You will be working with autonomous systems, where the infrastructure dynamics shift significantly when workloads have agency.
Observability entails understanding the rationale behind an agent's decisions, not merely checking the health of a pod.
There is a tangible gap between research and production in our environment. Our teams transition optimization algorithms and AI systems from research settings to production, and you will be integral to this process. While MLOps experience is not mandatory, you will be closer to this boundary than most infrastructure roles.
Join a small team with significant ownership. You will make foundational decisions rather than inherit pre-existing ones.
Your Responsibilities
Design infrastructure patterns for multi-agent systems that are observable, controllable, and recoverable in innovative ways.

