AI Engineer – Conversational AI & Data Pipelines

Everience; Utrecht; On-site; EUR 70,000 - 100,000; Full time

Job summary

Everience is seeking an AI Engineer to strengthen its Conversational AI teams. You will prepare enterprise data for AI knowledge bases and validate AI chatbots across single-turn and multi-turn scenarios.

You will build data pipelines in Databricks, apply evaluation frameworks, and ensure data quality for grounded AI assistants. Strong Python, Azure, and IaC experience are required, with emphasis on collaboration in Agile teams.

Qualifications

• A strong engineering and data-quality mindset with an Agile mindset.

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

Data engineering

Azure

Databricks

CI/CD

IaC

Bicep

Education

HBO or University degree

Tools

Azure

Databricks

CI/CD

DevOps

IaC

Bicep

Job description

Everience is seeking an AI Engineer to strengthen its Conversational AI teams. You will prepare enterprise data for AI knowledge bases and validate AI chatbots across single-turn and multi-turn scenarios.

You will build data pipelines in Databricks, apply evaluation frameworks, and ensure data quality for grounded AI assistants. Strong Python, Azure, and IaC experience are required, with emphasis on collaboration in Agile teams.