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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
GermanyJunior€59 905€60 770€61 635Estimation de sources publiques
GermanyMid€66 580€69 470€74 000Estimation de sources publiques
GermanySenior€85 500€89 705€101 852Estimation de sources publiques
GermanyLead€109 900€116 600€123 300Estimation de sources publiques
GermanyAll€98 057€103 705€109 352Estimation de sources publiques
SpainJunior€37 000€38 000€39 000Estimation de sources publiques
SpainMid€38 500€48 000€55 000Estimation de sources publiques
SpainSenior€71 250€77 500€80 000Estimation de sources publiques
SpainLead€105 000€105 000€105 000Estimation de sources publiques
FranceJunior€48 500€48 500€48 500Estimation de sources publiques
FranceMid€50 100€52 000€58 500Estimation de sources publiques
FranceSenior€85 000€85 000€85 000Estimation de sources publiques
FranceLead€105 000€105 000€105 000Estimation de sources publiques
FranceAll€65 000€65 000€65 000Estimation de sources publiques
United KingdomMid€83 810€83 810€83 810Estimation de sources publiques
United KingdomSenior€132 218€134 385€136 553Estimation de sources publiques
ItalyJunior€35 000€35 000€35 000Estimation de sources publiques
ItalyMid€44 000€50 000€57 324Estimation de sources publiques
ItalySenior€70 000€70 000€70 000Estimation de sources publiques
ItalyLead€97 500€97 500€97 500Estimation de sources publiques
PortugalJunior€35 323€36 646€37 969Estimation de sources publiques
PortugalMid€40 500€45 250€51 481Estimation de sources publiques
PortugalSenior€64 617€72 500€77 236Estimation de sources publiques
PortugalLead€102 500€102 500€102 500Estimation de sources publiques
PortugalAll€51 800€51 800€51 800Estimation de sources publiques
United StatesJunior€87 340€91 960€96 580Estimation de sources publiques
United StatesMid€144 815€152 130€157 922Estimation de sources publiques
United StatesSenior€180 400€198 000€206 800Estimation de sources publiques
United StatesAll€168 444€169 687€178 822Estimation de sources publiques

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 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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