AI Engineer — Hybrid, LLM Platforms, 28 Vacation Days

Intus Workforce Solutions

Utrecht

Hybrid

EUR 70,000 - 110,000

Full time

4 days ago
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Benefits offered by this job

Free lunch
Hybrid role
Office near Driebergen-Zeist station
Internet allowance 30€/month
Shower at office
28 vacation days
Work-from-home budget
Team outings

Job summary

Intus Workforce Solutions is seeking an AI Engineer to design, develop and implement LLM-based solutions within our product suite. You will enhance planning logic through AI-driven reasoning, prediction and decision support, shaping how LLMs, retrieval systems, and generative components fit into our product ecosystem.

You will contribute to data‑driven foundations by building embeddings, retrieval pipelines and evaluation frameworks that empower features for Dutch and international markets, in

Qualifications

  • Bachelor degree in Computer Science, AI or related field.
  • Solid understanding of LLMs and APIs.
  • Experience with agentic frameworks and evaluating LLMs.
  • Strong Python, cloud, CI/CD and Kubernetes skills.
  • Excellent problem solving and learning mindset.
  • Strong English communication; Dutch is a plus.

Responsibilities

  • Design, develop and implement LLM solutions within products.
  • Enhance planning logic with AI-driven reasoning and prediction.
  • Build data-driven components, embeddings, retrieval pipelines.
  • Collaborate in Agile/Scrum team with cross-functional colleagues.
  • Contribute to AI foundations for Dutch and international markets.

Skills

LLMs & APIs
Agentic frameworks
Python
Cloud computing
CI/CD concepts
Kubernetes
Analytical skills
English communication
Dutch language

Education

Bachelor's degree in Computer Science / AI or related field

Tools

Pydantic AI

Job description

Intus Workforce Solutions is seeking an AI Engineer to design, develop and implement LLM-based solutions within our product suite. You will enhance planning logic through AI-driven reasoning, prediction and decision support, shaping how LLMs, retrieval systems, and generative components fit into our product ecosystem.

You will contribute to data‑driven foundations by building embeddings, retrieval pipelines and evaluation frameworks that empower features for Dutch and international markets, in

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