FieldsArtificial IntelligenceAgentic AI Engineer
Agentic AI Engineer
Build AI agents that plan, use tools, and complete work end to end.
Career
The journey
What you learn
- The agent loop built by hand before any framework touches it
- Tools designed as contracts and granted with least privilege
- Memory engineered with a conscience about what it keeps
- Autonomy that is traced, budgeted, gated, and stoppable
What you will understand
- An agent is an actor with credentials whose behaviour is shaped by untrusted input
- Limiting what an agent can do beats hoping it behaves
- Instructions arriving inside content are data, never commands
- The honest question of when a workflow beats an agent entirely
What you will build
- A production agent with a blast radius map and human gates on consequential actions
- An evaluation harness that catches a behaviour regression before a user does
- The proof you build
Evidence that you can ship autonomy an organisation can hold accountable.
Related capability paths
What is not live yet
The desktop app, consent-based observation, scoring, and credentials are in development. Nothing here implies they are live yet.
Get early access