
Service · 17
AI Engineering — Embedded
A senior AI engineer inside your team — architecture, reviews and shipping, every week.
How it's built
(1) Onboard — codebase and infra audit, quick-wins list. (2) Roadmap — AI opportunities ranked into a quarterly plan. (3) Build cycles — weekly shipping cadence with pairing and reviews. (4) Quality — eval coverage grows, cost dashboards live. (5) Compound — your team upskilled; capability stays in-house.
Core fundamentals
- ships in week one
- knowledge transfer is a deliverable
- evals and cost visibility left behind
- your team is stronger when the engagement ends
Build blueprint

Deliverables
- weekly shipped work
- AI roadmap
- eval + cost dashboards
- team playbooks
Stack
LLM OpsEvalsCI/CDReviews
Tags
AI EngineerLLM OpsMLOpsTechnical Advisor
$2,500–4,000/mo retainer