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FieldsArtificial IntelligenceAgentic AI Engineer

Agentic AI Engineer

Build AI agents that plan, use tools, and complete work end to end.

Career

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The journey

  1. What you learn

    1. The agent loop built by hand before any framework touches it
    2. Tools designed as contracts and granted with least privilege
    3. Memory engineered with a conscience about what it keeps
    4. Autonomy that is traced, budgeted, gated, and stoppable
  2. What you will understand

    1. An agent is an actor with credentials whose behaviour is shaped by untrusted input
    2. Limiting what an agent can do beats hoping it behaves
    3. Instructions arriving inside content are data, never commands
    4. The honest question of when a workflow beats an agent entirely
  3. What you will build

    1. A production agent with a blast radius map and human gates on consequential actions
    2. An evaluation harness that catches a behaviour regression before a user does
    1. The proof you build

      Evidence that you can ship autonomy an organisation can hold accountable.

      See how proof works

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.

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