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Job Description
**Build AI systems that make real 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 massive amounts of building data from sensors, installations, and IoT systems to autonomously optimize buildings. AI plays an increasingly important role in this.
We are therefore looking for an AI Engineer who is not only enthusiastic about LLMs, Agentic AI, and intelligent automation, but also understands that successful AI solutions only work on a strong software foundation.
At Entune, you therefore do not work exclusively on AI models or prompts. We are looking for someone who is also willing to develop high-quality non-AI software: scalable backend services, APIs, data processing pipelines, cloud infrastructure, and integrations with building systems.
Because real AI impact only arises when smart models are combined with robust software engineering.
**Your role**
As an AI Engineer, you work on the next generation of intelligent software for smart buildings.
You develop Agentic AI workflows that help buildings make autonomous decisions, optimize energy consumption, and control systems more intelligently. At the same time, you contribute to building the software layer that makes these AI systems reliable, scalable, and usable.
**So you work at the intersection of:**
- AI engineering
- Software engineering
- Cloud & infrastructure
- IoT & building data
- Intelligent automation
**What you are going to do**
- Designing and developing Agentic AI workflows
- Working with LLMs and AI integrations
- Developing backend software in Python and C#
- Building APIs and services for real-time data processing
- Working on cloud-native infrastructure
- Processing and modeling sensor, meter, and building data
- Develop software that operationally supports AI systems
- Develop front-end functionality for visualization and management
- Working on scalability, performance, and reliability
- Develop unit and integration tests
- Contribute ideas regarding architecture, AI strategy, and technical choices
* * *
You will have the opportunity to develop yourself to your full potential, under the personal guidance of the rest of the team. In addition to a competitive salary, you will receive extras such as:
- 26 vacation days
- Meal vouchers
- Performance bonus opportunity appliable twice a year
- Private health insurance
- Private pension option
- Itility Academy - hard & soft skills training
- Hybrid working
### This is you
Naturally, you are committed, driven, and enjoy working in a world that is constantly changing. To do that successfully, you need:
- Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or similar
- Experience as a software engineer or AI engineer
- Experience with Python and modern software development
- Interested in Agentic AI, LLMs, and intelligent systems
- Willingness to build and maintain regular software in addition to AI
- Understanding of backend architecture and scalable systems
- Interested in cloud, infrastructure, and data platforms
- You love ownership and technical responsibility.
- You enjoy working in an environment where there is a lot of building and experimenting.
**Tech stack**
You don't need to master everything but experience with some of the technologies below helps:
- Python
- C#
- SQL
- REST APIs
- LLMs & Agentic AI
- AI orchestration frameworks
- Cloud infrastructure
- Docker / Kubernetes
- Data processing
- Distributed systems
- Front-end / Full stack development
- IoT & sensor data
### **Contact person**
Andrei Spitelnicu
+40 748 526 346
Key Responsibilities
Designing and developing Agentic AI workflows
Working with LLMs and AI integrations
Developing backend software in Python and C#
Building APIs and services for real-time data processing
Working on cloud-native infrastructure
Processing and modeling sensor, meter, and building data
Developing software that operationally supports AI systems
Developing front-end functionality for visualization and management
Working on scalability, performance, and reliability
Developing unit and integration tests
Contributing ideas regarding architecture, AI strategy, and technical choices