DevOps Engineer -AI Engineer for GenAI Assistants within Customer Service

1UP Training; Utrecht; Hybride; EUR 85 000 - 110 000; Plein temps

Résumé du poste

1UP Training in the Netherlands is seeking a DevOps Engineer - AI Engineer for GenAI assistants within customer service. You will prepare enterprise data and knowledge for advanced AI assistants and deploy data pipelines and IaC pipelines in Azure.

The role is hybrid, with in-office collaboration in Utrecht, and requires Python, Azure, Databricks, DevOps, CI/CD, and experience with RAG, evaluation frameworks, and structured/unstructured data.

Qualifications

• Strong proficiency in Python and data engineering
• Hands-on experience with Azure, Databricks, DevOps, CI/CD, and Infrastructure as Code (Bicep)
• Experience building data pipelines for AI knowledge bases and RAG applications

Responsabilités

• Collaborate within a scrum team to prepare, structure, enrich, and validate enterprise data for AI knowledge bases and chatbots.
• Build and maintain data pipelines in Databricks to process structured and unstructured data for AI knowledge bases.
• Apply evaluation frameworks to test chatbots across single-turn, multi-turn, simulation-based, and agentic scenarios.
• Prepare, clean, transform, and enrich source data to improve information quality and reliability for AI assistants.
• Create and maintain evaluation datasets covering realistic conversations, edge cases, and multi-step workflows.
• Implement automated testing, monitoring, and quality gates for changes to data, prompts, models, retrieval, and orchestration.
• Deploy and manage cloud infrastructure using IaC (Azure Bicep) and CI/CD pipelines.
• Analyse evaluation results and translate findings into improvements across knowledge, retrieval, prompts, tools, and application logic.

Connaissances

Python

Azure

Databricks

DevOps

CI/CD

Infrastructure as Code

Data pipelines

Automated testing

RAG applications

Context Engineering

Formation

Relevant HBO or university degree

Outils

Bicep

Azure DevOps

CI/CD tooling

Description du poste

DevOps Engineer -AI Engineer for GenAI Assistants within Customer Service

Role overview
You will prepare enterprise data and knowledge for advanced AI assistants and apply evaluation frameworks across single-turn, multi-turn, simulation-based, and agentic scenarios. You will work in a hybrid setup, collaborating closely with teams to implement conversational and AI concepts to ensure assistants provide accurate, grounded, and reliable support to advisors.

Key responsibilities

Collaborate within a scrum team to prepare, structure, enrich, and validate enterprise data for AI knowledge bases and chatbots.
Build and maintain data pipelines in Databricks to process structured and unstructured data for AI knowledge bases.
Apply evaluation frameworks to test chatbots across single-turn, multi-turn, simulation-based, and agentic scenarios.
Prepare, clean, transform, and enrich source data to improve information quality and reliability for AI assistants.
Create and maintain evaluation datasets covering realistic conversations, complex cases, edge cases, and multi-step workflows.
Implement automated testing, monitoring, and quality gates for changes to data, prompts, models, retrieval, and orchestration.
Deploy and manage cloud infrastructure using Infrastructure as Code (particularly Azure Bicep) and CI/CD pipelines.
Analyse evaluation results and translate findings into improvements across knowledge, retrieval, prompts, tools, and application logic.

Your profile

Mindset: Strong engineering and data-quality mindset with an affinity for Agile development; proactive, hands-on approach; strong critical thinking, ownership and accountability.
Communication: Excellent communication skills and customer-centric attitude.
Education & Languages: Relevant HBO or university degree. Fluency in English and Dutch mandatory.

Required skills

Strong proficiency in Python and experience with data engineering and automated testing.
Hands-on experience with Azure, Databricks, DevOps, CI/CD, and Infrastructure as Code (preferably Bicep).
Experience building data pipelines and preparing structured and unstructured enterprise data for AI knowledge bases and RAG applications.
Experience applying evaluation methods to advanced chatbots, including multi-turn, simulated, and agentic interactions.
Familiarity with Context Engineering, Agentic AI, Function Calling, retrieval strategies, and tool use.

Work model: Hybrid; ideally one day per week onsite in Utrecht. The team coordinates remote/office days and works from the office on Mondays.
Contract type: Freelance/self-employed (ZZP) not allowed.