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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

Agent frameworks and LLM orchestrationProgramming (Python/TS)Agent evaluation and observabilityTool designSafety and guardrails

Salary by country and seniority

CountrySeniorityP25MedianP75
GermanyMid€65.860€66.220€66.580Stima da fonti pubbliche
GermanySenior€81.938€88.705€98.057Stima da fonti pubbliche
GermanyAll€98.057€103.705€109.352Stima da fonti pubbliche
SpainMid€36.000€41.000€48.000Stima da fonti pubbliche
SpainSenior€65.000€65.000€65.000Stima da fonti pubbliche
FranceMid€49.150€50.100€51.050Stima da fonti pubbliche
FranceAll€65.000€65.000€65.000Stima da fonti pubbliche
United KingdomMid€83.810€83.810€83.810Stima da fonti pubbliche
United KingdomSenior€132.218€134.385€136.553Stima da fonti pubbliche
ItalyMid€44.662€51.324€57.985Stima da fonti pubbliche
PortugalMid€40.500€40.500€40.500Stima da fonti pubbliche
PortugalSenior€56.733€56.733€56.733Stima da fonti pubbliche
United StatesMid€155.117€159.974€164.830Stima da fonti pubbliche
United StatesSenior€198.000€198.000€198.000Stima da fonti pubbliche
United StatesAll€148.720€168.444€174.125Stima da fonti pubbliche

Figures in euros, gross annual — each with its source.

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Also known as

The market uses several titles for the same role:

AI Agent EngineerAgent DeveloperApplied AI Engineer (agents)Autonomous Systems Engineer

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. 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. 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. 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. 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 designDefines goal, tools, data and limits; knows what it must NOT be able to do.
  • Model choiceTunes model per task by cost and reliability, not defaulting to the largest.
  • EvaluationMeasures accuracy with real evals before production and on every change.
  • Security by designLeast-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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