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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€61.635Schätzung aus öffentlichen Quellen
GermanyMid€66.580€69.470€74.000Schätzung aus öffentlichen Quellen
GermanySenior€85.500€89.705€101.852Schätzung aus öffentlichen Quellen
GermanyLead€109.900€116.600€123.300Schätzung aus öffentlichen Quellen
GermanyAll€98.057€103.705€109.352Schätzung aus öffentlichen Quellen
SpainJunior€37.000€38.000€39.000Schätzung aus öffentlichen Quellen
SpainMid€38.500€48.000€55.000Schätzung aus öffentlichen Quellen
SpainSenior€71.250€77.500€80.000Schätzung aus öffentlichen Quellen
SpainLead€105.000€105.000€105.000Schätzung aus öffentlichen Quellen
FranceJunior€48.500€48.500€48.500Schätzung aus öffentlichen Quellen
FranceMid€50.100€52.000€58.500Schätzung aus öffentlichen Quellen
FranceSenior€85.000€85.000€85.000Schätzung aus öffentlichen Quellen
FranceLead€105.000€105.000€105.000Schätzung aus öffentlichen Quellen
FranceAll€65.000€65.000€65.000Schätzung aus öffentlichen Quellen
United KingdomMid€83.810€83.810€83.810Schätzung aus öffentlichen Quellen
United KingdomSenior€132.218€134.385€136.553Schätzung aus öffentlichen Quellen
ItalyJunior€35.000€35.000€35.000Schätzung aus öffentlichen Quellen
ItalyMid€44.000€50.000€57.324Schätzung aus öffentlichen Quellen
ItalySenior€70.000€70.000€70.000Schätzung aus öffentlichen Quellen
ItalyLead€97.500€97.500€97.500Schätzung aus öffentlichen Quellen
PortugalJunior€35.323€36.646€37.969Schätzung aus öffentlichen Quellen
PortugalMid€40.500€45.250€51.481Schätzung aus öffentlichen Quellen
PortugalSenior€64.617€72.500€77.236Schätzung aus öffentlichen Quellen
PortugalLead€102.500€102.500€102.500Schätzung aus öffentlichen Quellen
PortugalAll€51.800€51.800€51.800Schätzung aus öffentlichen Quellen
United StatesJunior€87.340€91.960€96.580Schätzung aus öffentlichen Quellen
United StatesMid€144.815€152.130€157.922Schätzung aus öffentlichen Quellen
United StatesSenior€180.400€198.000€206.800Schätzung aus öffentlichen Quellen
United StatesAll€168.444€169.687€178.822Schätzung aus öffentlichen Quellen

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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