AI Engineering

One cycle to a hireable AI engineering role.

90 days

Overview

Applied GenAI and agentic systems: RAG pipelines, tool-using agents, evaluation, and production hardening. This is a role rung, not the whole ladder — it's one of several tracks you can stack.

Who it's for

Engineers with a backend or cloud foundation who want to ship production GenAI/agentic systems.

Prerequisites

Foundation Rung

Backend / Full-Stack

The load-bearing rung underneath every role on the ladder.

One 90-day cycle to become a competent backend/full-stack engineer: APIs, databases, auth, testing, and shipping a real application end to end. This is the foundation every role rung above it assumes you already have.

90 daysExplore

What proof looks like

From here on, proof means shipped artifacts and verifiable systems — not screenshots or certificates.

A deployed RAG or agent system with real users or a real dataset, not a notebook demo
An evaluation harness showing how you measured quality, not just a screenshot of output
A written case study explaining the failure modes you hit and how you fixed them

Where this leads next

Advanced Pathway

Senior AI / Platform Engineer

What you get when AI engineering, data engineering, and cloud/DevOps stack together.

Not a single cycle. This Advanced Pathway names the senior profile that emerges once you've stacked AI engineering with data engineering and/or cloud/DevOps — someone who can own a platform, not just a feature.

Blend of 2-3 stacked 90-day cyclesExplore

See the full ladder