AI Engineer – Python, Azure & RAG

Us3 Consulting; Utrecht; On-site; EUR 70,000 - 110,000; Full time

Job summary

Us3 Consulting is seeking an AI Engineer to help build and improve GenAI assistants that support customer service and financial advisors. You will focus on preparing high-quality enterprise data for AI knowledge bases and RAG applications, building data pipelines, and evaluating advanced AI assistants to ensure accurate, reliable and grounded responses within an Agile team.

Collaborate with engineers and business stakeholders in an Agile/Scrum environment, deploying Azure-based infrastructure

Qualifications

• Strong Python programming and data engineering experience.
• Hands-on Azure and Databricks experience.
• Experience building data pipelines for structured and unstructured data.
• Understanding of RAG architectures and AI knowledge bases.
• Experience with automated testing and evaluating AI/chatbot solutions.
• Experience with DevOps, CI/CD and cloud-based development.
• Fluency in English; HBO or university degree.

Responsibilities

• Build and maintain data pipelines in Python and Databricks to prepare structured and unstructured enterprise data.
• Clean, enrich and validate data for AI knowledge bases and RAG applications.
• Develop and maintain evaluation datasets for single-turn, multi-turn, simulated and agentic chatbot scenarios.
• Implement automated testing, monitoring and quality gates for AI solutions.
• Analyse evaluation results and translate findings into improvements across data, retrieval, prompts and AI applications.
• Deploy and manage Azure cloud infrastructure using Infrastructure as Code and CI/CD pipelines.
• Collaborate with engineers and business stakeholders in an Agile/Scrum environment.

Skills

Python programming

Data engineering

Azure

Databricks

RAG architectures

AI knowledge bases

Automated testing

CI/CD

English fluency

Education

Bachelor's or Master's degree in a relevant field

Job description

No B2B or ZZP

About the role

We are looking for an AI Engineer to help build and improve GenAI assistants that support customer service and financial advisors.

You will focus on preparing high-quality enterprise data for AI knowledge bases and RAG applications, building data pipelines, and evaluating advanced AI assistants to ensure accurate, reliable and grounded responses.

Working within an Agile team, you will combine data engineering, AI evaluation and cloud engineering to improve the quality and performance of conversational AI solutions.

What will you do?

• Build and maintain data pipelines in Python and Databricks to prepare structured and unstructured enterprise data.
• Clean, enrich and validate data for AI knowledge bases and RAG applications.
• Develop and maintain evaluation datasets for single-turn, multi-turn, simulated and agentic chatbot scenarios.
• Implement automated testing, monitoring and quality gates for AI solutions.
• Analyse evaluation results and translate findings into improvements across data, retrieval, prompts and AI applications.
• Deploy and manage Azure cloud infrastructure using Infrastructure as Code and CI/CD pipelines.
• Collaborate with engineers and business stakeholders in an Agile/Scrum environment.

Essential skills & experience

• Strong Python programming skills and experience with data engineering.
• Hands-on experience with Azure and Databricks.
• Experience building data pipelines and processing structured and unstructured data.
• Understanding of RAG architectures and AI knowledge bases.
• Experience with automated testing and evaluating AI/chatbot solutions.
• Experience with DevOps, CI/CD and cloud-based development.
• Strong analytical, problem-solving and communication skills.
• Fluency in English and a relevant HBO or university degree.

Preferred skills & experience

• Experience evaluating multi-turn, simulated and agentic AI interactions.
• Knowledge of Context Engineering and Agentic AI.
• Experience with Function Calling, tool use and retrieval strategies.
• Experience with Azure Bicep or other Infrastructure as Code tools.