An AI engineer builds production AI systems by integrating large language models (LLMs), designing intelligent workflows, and creating AI-powered features within existing products. They bridge the gap between AI research and production software engineering.
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Key responsibilities you can expect from this role
Integrate LLM APIs (OpenAI, Anthropic, open-source models) into product features with proper error handling and fallbacks
Design and optimize prompt engineering systems — templates, chains, and evaluation frameworks
Build retrieval-augmented generation (RAG) pipelines using vector databases and document processing
Implement AI agent workflows and tool-use patterns for complex multi-step tasks
Set up evaluation and monitoring for AI outputs — quality scoring, latency tracking, and cost optimization
Develop guardrails, content filtering, and safety measures for AI-generated content in production
What to look for when hiring an ai engineer
Typical annual salary ranges in Europe (EUR)
Junior
€42,000–€55,000
0–2 years
Mid-level
€58,000–€78,000
2–5 years
Senior
€82,000–€115,000
5+ years
Ranges reflect full-time salaries in Northern & Western Europe. Actual compensation varies by location, company stage, and candidate experience.
Common questions about hiring an ai engineer
From request to hire in 3 simple steps
Share your role requirements, team culture, and timeline. We will scope the search and confirm fit within 24 hours.
We present 3–5 qualified candidates. Each has been screened for skills, motivation, and cultural fit.
Interview your top picks and make an offer. Our 90-day guarantee means zero risk if the hire does not work out.
Advice for finding the right ai engineer
Test with a real integration challenge, not algorithm puzzles. Ask them to build a RAG system or an AI-powered feature — evaluate the end-to-end solution, not just the code.
Ask about AI failure modes. How do they handle hallucinations, latency spikes, and rate limits in production? Candidates who only talk about the happy path lack production experience.
Check their evaluation methodology. Great AI engineers build systematic quality measurement before shipping features — not just "it looks good in testing."
Verify they understand costs. AI API costs can spiral quickly. Ask how they would architect a feature that is both effective and economically viable at scale.
Feedback from founders who hired through us
€1.7M ARR startup • Hired 4+ positions • Focus on European expansion hires
"Working with Herizon has been an absolute turning point for our hiring. They have already helped us successfully bring on board a Growth Marketing Manager and a RevOps Manager, and are now supporting us in finding the right AEs and a Partnership Development Manager. What sets Herizon apart is not only their deep understanding of every role in a revenue organization, but also their ability to truly grasp what we are looking for as if they were part of our own team. They don't just present candidates — they challenge our thinking, help us sort through priorities, and go deep with candidates to ensure we're meeting the right people. I couldn't recommend Herizon highly enough for any company looking to build out their revenue teams with the right people."
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Sustainability tech company at €2M ARR
Hired 2 in 14 days
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Listed tech company
Fast growth team hire
"Found our PM in 6 days. Remote worker from Finland is super cost-efficient for our German company."
Early-stage startup at €1M ARR
Product team hire in 6 days
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