AI Engineer (m/w/d)

Everience Benelux; Utrecht; On-site; EUR 90,000 - 130,000; Full time

Job summary

Everience Benelux in Utrecht, NL seeks an AI Engineer to strengthen its Conversational AI teams. You will prepare enterprise data for AI knowledge bases and AI chatbots, and build data pipelines in Databricks to support retrieval and knowledge applications.

You will apply evaluation methods to test chatbots across single-turn, multi-turn, simulated, and agentic scenarios, ensuring grounded, reliable support for advisors.

Qualifications

• Must have a strong engineering and data-quality mindset and Agile experience.
• Hands-on approach to solving AI-quality and cloud-engineering challenges.
• Excellent communication and customer-centric attitude.
• Fluency in English and a relevant HBO or university degree.
• Experience with Azure, Databricks, DevOps, CI/CD, and Infrastructure as Code (Bicep).
• Experience building data pipelines and preparing enterprise data for AI knowledge bases and RAG applications.
• Experience applying evaluation methods to advanced chatbots, including multi-turn, simulated, and agentic interactions.

Responsibilities

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

Skills

Python

Agile development

English fluency

Critical thinking

Ownership

Communication skills

Education

HBO or university degree

Tools

Databricks

Azure

CI/CD

DevOps

Bicep

Job description

Company Description

Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.

With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.

Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.

In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.

Job Description

A client is looking for an AI Engineer to strengthen their Conversational AI teams. The consultant will focus on preparing enterprise data and knowledge for advanced AI assistants and applying evaluation frameworks across single-turn, multi-turn, simulated, and agentic scenarios. In this role, the consultant will help ensure AI 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 AI Chatbots.
• Build and maintain data pipelines in Databricks to process structured and unstructured data for AI knowledge bases.
• Apply evaluation frameworks to test advanced chatbots across single-turn, multi-turn, simulation-based, and agentic scenarios.
• Prepare, clean, transform, and enrich source data to improve the quality and reliability of information used by 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.

Qualifications

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

Additional Information

All our positions are open to both women and men and are, of course, open to people with disabilities.

All our positions are open to both women and men and are, of course, open to people with disabilities.