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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