AI Operations · Role
Agentic AI Engineer
The Agentic AI Engineer builds AI agents: systems that reason, use tools and act with autonomy. The most technical profile in the function.
What they do
- Build agents that use tools and make decisions.
- Design evaluation and guardrails so they don't go off the rails.
- Ship agents to production with reliability and cost under control.
Skills it needs
Salary by country and seniority
| Country | Seniority | P25 | Median | P75 | |
|---|---|---|---|---|---|
| Germany | Mid | €65 860 | €66 220 | €66 580 | Estimation de sources publiques |
| Germany | Senior | €81 938 | €88 705 | €98 057 | Estimation de sources publiques |
| Germany | All | €98 057 | €103 705 | €109 352 | Estimation de sources publiques |
| Spain | Mid | €36 000 | €41 000 | €48 000 | Estimation de sources publiques |
| Spain | Senior | €65 000 | €65 000 | €65 000 | Estimation de sources publiques |
| France | Mid | €49 150 | €50 100 | €51 050 | Estimation de sources publiques |
| France | All | €65 000 | €65 000 | €65 000 | Estimation de sources publiques |
| United Kingdom | Mid | €83 810 | €83 810 | €83 810 | Estimation de sources publiques |
| United Kingdom | Senior | €132 218 | €134 385 | €136 553 | Estimation de sources publiques |
| Italy | Mid | €44 662 | €51 324 | €57 985 | Estimation de sources publiques |
| Portugal | Mid | €40 500 | €40 500 | €40 500 | Estimation de sources publiques |
| Portugal | Senior | €56 733 | €56 733 | €56 733 | Estimation de sources publiques |
| United States | Mid | €155 117 | €159 974 | €164 830 | Estimation de sources publiques |
| United States | Senior | €198 000 | €198 000 | €198 000 | Estimation de sources publiques |
| United States | All | €148 720 | €168 444 | €174 125 | Estimation de sources publiques |
Figures in euros, gross annual — each with its source.
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The market uses several titles for the same role:
How it changes by seniority
- Junior — Implements agents with tools and prompts against a given design.
- Mid — Designs evaluation and guardrails, and ships agents to production.
- Senior — Owns reliability and cost of critical agents; sets design patterns.
- Lead — Leads the agent team and the platform they’re built on.
When to hire
When you need custom agents, not a templated automation.
When not to
If your case is solved by an existing tool or a no-code flow.
Interview questions
1. You’re building an agent with access to the CRM and email. What limits do you set from the design?
What to look for: Least-privilege per task, what it must NOT do, and brakes where it can do damage; security by design.
2. How do you choose the model for each step of the agent?
What to look for: Model per task (cost vs. reliability), not the biggest for everything.
3. How do you know your agent is right before putting it in front of a customer?
What to look for: Builds evals with real cases and a threshold; doesn’t trust "it works in my tests".
4. Your agent has to call tools and sometimes picks the wrong one. How do you control it?
What to look for: Scaffolding with error handling, retries and clear autonomy limits.
Scorecard
- Agent design — Defines goal, tools, data and limits; knows what it must NOT be able to do.
- Model choice — Tunes model per task by cost and reliability, not defaulting to the largest.
- Evaluation — Measures accuracy with real evals before production and on every change.
- Security by design — Least-privilege and defence against misuse and injection, not bolted on at the end.
Red flags
- — Gives the agent broad access "so it can do anything" with no limits.
- — Ships with no way to measure whether it’s right.
- — Uses the most expensive model for everything and ignores cost per run.
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