Build AI systems that make real-world buildings smarter and more sustainable
At Entune, we build software that makes buildings smarter, more efficient, and more sustainable in real time. Our technology collects and analyzes vast amounts of building data from sensors, installations, and IoT systems to autonomously optimize buildings.
AI and advanced data science play a crucial role in this.
We are therefore looking for an Agentic AI & Data Science Engineer. Someone who is excited about LLMs and Agentic AI, but who also possesses the deep statistical and mathematical knowledge to build complex forecasting and optimization models based on our time-series data. At Entune, we believe that real AI impact only happens when advanced data science and autonomous agents come together on a strong, scalable software foundation.
You won't just be developing the "brains" (the data science models); you will also help put them into practice through autonomous workflows (Agentic AI) and robust data pipelines—for our customers, employees, and agents.
What will you do?
As an Agentic AI & Data Science Engineer, you will work on the next generation of intelligent software for smart buildings.
You will develop agentic AI workflows that help buildings make autonomous decisions, optimize energy consumption, and control installations more intelligently. At the same time, you will help build the software layer that makes these AI systems reliable, scalable, and practical.
You will work at the intersection of:
- Data Science & Modeling (Forecasting, optimization, statistics)
- AI Engineering (Agentic AI, LLM orchestration, RAG)
- Data Pipelines & Backend (Real-time data streams, Python, APIs)
- IoT & Building Data (Time series, sensor data)
In concrete terms, you will:
- Design and train predictive models (forecasting) and optimization algorithms based on sensor and meter data
- Design and develop agentic AI workflows
- Work with LLMs and AI integrations
- Effectively combine generative AI with traditional machine learning techniques
- Develop APIs and services for the integration between AI models and building systems
- Develop software that supports AI systems in production, focusing on the scalability, performance, and reliability of operational models
- Contribute to Entune’s long-term data and AI strategy
Why this role is exciting
Many AI vacancies focus primarily on prototypes, standalone models, or experimental applications. At Entune, you will build models and agents that are actually deployed operationally in physical buildings. This means your code and algorithms have a direct impact on the CO2 reduction and energy consumption of real-world assets.
What do you bring to the table?
We are not looking for a pure "prompt engineer" or a data scientist who only works in notebooks. We are looking for an engineer who combines mathematical depth with the drive to make systems actually work and generate direct value for Entune and its clients.
Tech stack
You don't need to master everything yet, but experience with some of the technologies below will help:
- Data Science & ML: MPC, XGBoost, linear programming, gradient descent algorithms, Python (Pandas, NumPy, Scikit-Learn)
- AI & Automation: LLMs, agentic frameworks (e.g., LangGraph, AutoGen, CrewAI), RAG architectures
- Backend & Data: SQL, REST APIs, data processing pipelines
What we’re looking for
- Bachelor’s or Master’s degree in a quantitative field (e.g., Artificial Intelligence, Data Science, Computer Science, Econometrics, or similar)
- Three to five years of experience in building and deploying machine learning or data science models into production (specifically forecasting and optimization)
- Interest in Agentic AI, LLMs, and intelligent systems
- Willingness to build and maintain standard software in addition to AI
- Strong programming skills in Python and experience with modern software development (version control, testing, clean code)
- You value ownership and technical responsibility; you enjoy working in an environment where building and experimenting happen quickly
- Proficiency in Dutch and English
What do we offer?
- Working on technology with a visible, sustainable impact
- Significant technical responsibility and autonomy
- Direct influence on architecture and product development
- A small, technically strong, and ambitious team
- Plenty of room for personal initiative and development
- Opportunity to work with modern AI and software technologies
- Hybrid working
- Company laptop and phone
- 26 days of annual leave
- Pension scheme with a 60% employer contribution
- Mileage allowance
Working at Entune
At Entune, we combine software engineering, AI, and building technology to make buildings smarter and more sustainable.
We are technically driven, build much of our own software, and continuously improve our platform. This requires engineers who enjoy taking ownership, thinking critically, and making an impact through technology.
Contact person
Tom Bressers
+31 (0)6 26 15 72 61
tom.bressers@itility.nl
Do you want to work on the smartest buildings of tomorrow and contribute to the energy transition?
Apply below or contact us for an introductory meeting.
