23 hours ago
Utrecht, NetherlandsMid Level
Responsibilities
- Prepare, structure, enrich, and validate enterprise data for AI knowledge bases and chatbots.
- Build and maintain Databricks data pipelines for structured and unstructured data.
- Create evaluation datasets covering realistic conversations, complex cases, edge cases, and multi-step workflows.
- Evaluate advanced chatbots across single-turn, multi-turn, simulated, and agentic scenarios.
- Implement automated testing, monitoring, and quality gates for data, prompts, models, retrieval, and orchestration.
- Deploy and manage Azure cloud infrastructure using Bicep and CI/CD pipelines.
- Analyze evaluation results and improve knowledge, retrieval, prompts, tools, and application logic.
Requirements
- 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 evaluating advanced chatbots, including multi-turn, simulated, and agentic interactions.
- Familiarity with Context Engineering, Agentic AI, Function Calling, retrieval strategies, and tool use.
- Strong engineering, data-quality, critical-thinking, communication, ownership, and customer-centric skills.
Categories
AI ApplicationsData Engineering
About Everience
Everience Italia provides IT managed services, including helpdesk support, break-fix dispatch, and technology consulting for SMEs and enterprises. Founded in 2012 and headquartered in Rho, Lombardy, it operates within an international group under the Everience brand and offers multilingual nearshore support from Timisoara, Romania. Revenue comes from managed service contracts and project-based support across Italy and abroad.