Engineering · Fast-moving · Intermediate
AI Engineer
Builds applications on top of existing foundation models rather than training models from scratch.
What AI Engineer is
This is the fastest-growing AI role. The work is retrieval, prompting, tool integration, evaluation, cost control and user experience for probabilistic systems.
How it works
Skills include strong application engineering, RAG architecture, agent design, evaluation frameworks and observability. Most practitioners come from software engineering rather than research.
Why it matters
The vast majority of organisations consume models rather than build them, so this is where most AI hiring now sits.
Common uses
- →Copilots and assistants
- →RAG knowledge systems
- →Agent workflows
- →AI features in existing products
Strengths
- ✓Accessible from a software background
- ✓Very high demand
Watch for
- ✓Tooling changes constantly
- ✓Requires comfort with non-deterministic behaviour
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