AI engineering
Production-grade agent systems, retrieval pipelines, and evaluation infrastructure. Built to hold up under real traffic, not to win a demo.
An AI subsystem is already shipping — or about to — and the next step is engineering rigor: eval, tracing, contracts.
- Tool-calling agent loops with policy and contract checks
- Hybrid retrieval (dense + sparse), rerank, freshness policies
- Offline eval harnesses and replayable regression suites
- OpenTelemetry tracing, token accounting, alert routes
Typical deliverables
- Deployed agent on your stack, behind feature flags
- Typed contracts at every tool boundary
- Replayable eval suite wired into CI with baseline
- Tracing dashboards and alert routes in your tenant
- Runbook, decision log, and named owner on your team