Confident AI is building the infrastructure that makes AI trustworthy. We're an observability platform used by engineering teams who need to understand what their AI systems are actually doing. We have strong product-market fit and a growing base of customers deploying in production.
We're looking for a Founding Infrastructure Engineer to own the reliability, scalability, and infrastructure that our platform runs on. Today we operate in the cloud. Soon, our largest customers will deploy us on-prem in environments we don't control — high-traffic, high-ingest workloads where we can't just hotfix in production. You'll be the person who makes sure we survive that transition and thrive on the other side.
This is a foundational hire. You'll design the systems that let an observability platform handle massive data volumes without breaking, build the deployment story for on-prem and hybrid environments, and set the infrastructure standards that the rest of engineering builds on. If you want to own the hardest scaling and reliability problems at an early-stage company, this is the role.
Confident AI allows companies of all sizes to benchmark, safeguard, and improve LLM applications, with best-in-class metrics and guardrails powered by DeepEval. Built by the creators of DeepEval (12.6k stars, >3m monthly downloads), Confident AI is able to offer battle-tested, open-source evaluation algorithms while providing the infrastructure needed for teams to stay confident their LLM systems.
Salary
$100,000 - $200,000
Equity
0.5% - 1.5%
Location
Remote
Experience
6+ years
Total raised
$2.2M
Last stage
Seed
Investors
No 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.