Hire AIOps engineers to run AI in production.
Senior engineers who make your AI reliable — observability, drift monitoring, eval pipelines, and cost dashboards, shipped as production code inside your stack.
What our AIOps engineers ship.
The unglamorous work that keeps AI features alive in production.
Observability
Langfuse / Braintrust / OpenTelemetry wired into every LLM call, with traces you can actually read.
Drift monitoring
Nightly checks that catch model and data drift before your users do.
Eval pipelines
Reproducible eval suites that run on every PR and gate releases.
Cost dashboards
Per-feature LLM spend tracking with routing and caching to keep the bill in check.
How it works.
Subscribe, submit a task in plain English, get a clean GitHub PR in a week.
Scope in 20 minutes
Book a call. We confirm fit, recommend a tier, and send a written scope in 4 business hours.
- No payment to start
- Written scope in 4 hours
- Days-to-ship estimate
Engineer in your Slack
A senior engineer matched to your stack joins within 24 hours of green-lit scope.
- Matched to your stack
- Daily updates on Growth+
- Profile shared first
We ship via PR
Code lands in your repo with tests, docs, and a deploy guide in 5–7 days.
- Observability wired in
- Eval harness included
- Runbook + monitoring guide
What every AIOps engagement includes.
Common questions.
Make your AI production-reliable this week.
Book a free 20-minute scoping call. We'll scope the observability task, estimate the ship date, and recommend a tier.