Zum Inhalt springen
Implementa.

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€66.580Schätzung aus öffentlichen Quellen
GermanySenior€81.938€88.705€98.057Schätzung aus öffentlichen Quellen
GermanyAll€98.057€103.705€109.352Schätzung aus öffentlichen Quellen
SpainMid€36.000€41.000€48.000Schätzung aus öffentlichen Quellen
SpainSenior€65.000€65.000€65.000Schätzung aus öffentlichen Quellen
FranceMid€49.150€50.100€51.050Schätzung 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
ItalyMid€44.662€51.324€57.985Schätzung aus öffentlichen Quellen
PortugalMid€40.500€40.500€40.500Schätzung aus öffentlichen Quellen
PortugalSenior€56.733€56.733€56.733Schätzung aus öffentlichen Quellen
United StatesMid€155.117€159.974€164.830Schätzung aus öffentlichen Quellen
United StatesSenior€198.000€198.000€198.000Schätzung aus öffentlichen Quellen
United StatesAll€148.720€168.444€174.125Schätzung aus öffentlichen Quellen

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

Calculate a salary

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.

Hiring or assessing this profile?

Generate the full interview script and scorecard, tailored to the seniority you’re hiring for.

Open the interview scorecard