Agents and embodied systems
Tool-using agents and workflow orchestration
This family covers building bounded agents that act through explicit tool permissions. AI companies need it because an agent that can only do what it is allowed to do, and shows its work, is one a customer will actually trust.
Teams have moved from demos to agents that touch real systems, and that raises the stakes. Someone has to decide what an agent may do, how its actions are seen, and what happens when a step fails. The tricky part is the profile. Strong hires usually come from application engineering, workflow automation or systems integration, not research. Titles vary widely, and some roles are still forming. Look for people who think about failure first.
Roles in this family
6 roles
Where the people come from
Application engineering, workflow automation or systems integration
Not to be confused with. Core reasoning methods and open-ended future autonomy are separate categories.
Core skills
Where it is used
Routes in and out
People move in from
- Applied AI and machine learning engineeringAdd data/model evaluation, then agent permission and recovery design
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