Dev Ops Engineer C

1UP Training; Utrecht; On-site; EUR 65,000 - 95,000; Full time

Job summary

1UP Training (Netherlands) seeks an AI Engineer to prepare enterprise data and knowledge for advanced AI assistants, ensuring accuracy and reliability in advisors’ support. You will join a Scrum team to build Databricks data pipelines and enrich data for high-quality AI knowledge bases.

The role demands a relevant degree, fluent English, and strong data-quality instincts with hands-on cloud-engineering experience in Azure, Bicep, and CI/CD pipelines.

Qualifications

• Relevant HBO or university degree.
• Fluency in English.
• A strong engineering and data-quality mindset, with an affinity for Agile development.
• A proactive, hands-on approach to complex AI-quality and cloud-engineering challenges.
• Strong critical-thinking skills, ownership, and accountability for production-ready solutions.
• Excellent communication skills and a customer-centric attitude.

Responsibilities

• Collaborate within a Scrum team to prepare, structure, enrich, and validate enterprise data for AI knowledge bases and chatbots.
• Build and maintain Databricks data pipelines for structured and unstructured data.
• Prepare, clean, transform, and enrich source data to improve the quality and reliability of information used by AI assistants.
• Apply evaluation frameworks to test chatbots in single-turn, multi-turn, simulation-based, and agentic scenarios.
• 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 to knowledge, retrieval, prompts, tools, and application logic.

Skills

Agile development

Critical thinking

Ownership

Communication

Education

Relevant HBO or university degree

Tools

Python

Azure

Databricks

DevOps

CI/CD

Infrastructure as Code

Bicep

Job description

AI Engineer - GenAI Assistants within Customer Service

The role
As an AI Engineer, you will prepare enterprise data and knowledge for advanced AI assistants and evaluate their quality across single-turn, multi-turn, simulated, and agentic scenarios. You will help ensure that assistants provide accurate, grounded, and reliable support to advisors.

What you'll do

Collaborate within a Scrum team to prepare, structure, enrich, and validate enterprise data for AI knowledge bases and chatbots.
Build and maintain Databricks data pipelines for structured and unstructured data.
Prepare, clean, transform, and enrich source data to improve the quality and reliability of information used by AI assistants.
Apply evaluation frameworks to test chatbots in single-turn, multi-turn, simulation-based, and agentic scenarios.
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 to knowledge, retrieval, prompts, tools, and application logic.

What you bring

A relevant HBO or university degree.
Fluency in English.
A strong engineering and data-quality mindset, with an affinity for Agile development.
A proactive, hands-on approach to complex AI-quality and cloud-engineering challenges.
Strong critical-thinking skills, ownership, and accountability for production-ready solutions.
Excellent communication skills and a customer-centric attitude.

Your skills and experience

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 evaluating advanced chatbots, including multi-turn, simulated, and agentic interactions.
Familiarity with Context Engineering, Agentic AI, Function Calling, retrieval strategies, and tool use.

Eisen

• Relevant HBO or university degree and fluency in English