Contribute to a meaningful mission and support a sustainable future through AI innovation. You won’t just build tech; you’ll help millions live greener lives.
Be at the core of Eneco’s GenAI Platform, developing real-world applications with LLMs, RAG pipelines, and scalable AI infrastructure that power both internal tools and customer-facing experiences.
Join a team that values continuous learning, shared success, and cross-functional collaboration.
Why choose Eneco?
The One Planet strategy we are committed to here at Eneco sets an ambitious goal to be climate neutral by 2035. We want to achieve that goal for both us and our clients. To make it happen, we are dedicated to offering our customers innovative digital capabilities and smart solutions. Our team is working towards creating an exceptional online customer experience, through modernizing the Eneco chat, app and web environments. We are striving to deliver a superior digital customer experience that will stimulate and make it easier for our customers to become greener, every day.
What you’ll do
As a Machine Learning Engineer in the GenAI Platform, you will play a key role in building products by leveraging GenAI models. We're looking for someone who can bridge the gap between applied Machine Learning, Software Engineering, and Cloud Infrastructure to build scalable platforms as the foundation of GenAI use cases. You will work closely with product managers and data scientists to develop, optimize, and deploy LLM-powered services that support Eneco’s consumers internally or externally.
Is this about you?
Must Have:
Experience in Machine Learning, NLP, or AI Engineering.
Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and open-source models
Strong Programming Skills in Python and ML tools like PyTorch,, Hugging Face Transformers, LangChain, etc.
Experience deploying ML/AI systems in a production environment.
Experience with REST APIs, microservices, and scalable backend systems.
Experience using Docker, Kubernetes, or MLflow for model lifecycle management.
Understanding of software engineering principles: testing, CI/CD, version control, containerization.
Nice to Have:
Experience building AI-enabled applications, such as chatbots or intelligent agents.
Familiarity with prompt engineering, RAG, and model fine-tuning techniques
Cloud Platforms: Production experience with cloud services (Azure)
Infrastructure as Code: Terraform or similar tools
Experience working in a platform team / Ability to design systems that support multiple teams and use cases
You’ll be responsible for
Designing pipelines that ingest, process, and interpret non-structured data.
Designing, developing, and maintaining scalable GenAI components and tools used across the organization.
Develop user interfaces or backend systems that interact with LLMs efficiently and safely.
Collaborate with cross-functional teams (product, engineering, data science) to bring AI-powered features to life.
Design and implement RAG pipelines that combine LLMs with vector search (e.g., using Weaviate or Azure AI Search).
Monitor platform usage, cost, GenAI and/or LLM related metrics.
This is where you’ll work
You will be working together with other Machine Learning Engineers and Data Scientists. Together, you will shape the GenAI platform so either Eneco internal employees or external consumers can benefit from the GenAI technology. Within the team, we encourage learning, actively seek out collaboration, celebrate successes, and learn from failures.
What we have to offer
Gross annual salary between €80.000 and €110.000
Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.
FlexBudget
Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.
Have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you.
Personal and professional growth
Eneco is fully committed to help you in your personal and professional development.
Hybrid working, at home or in the office
You work 40% at the office and 40% at home. The other day you decide what works best for you.
Want more information about our terms of employment?
Work that works for you and the climate
If you decide on a career at Eneco, you are choosing ambition, growth and opportunities. You will have all the space you want to improve yourself and do your job the way that suits you best, which includes having a good work-life balance. You can work to a flexible schedule and work partly from home if your role allows it.
That is how you can work on your own future and on the future of the world. After all, you and your 4,000 colleagues are committed to our mission: climate neutrality by 2035. We assist customers to accelerate their sustainability efforts, devise innovative solutions and seize opportunities with both hands. Are you ready?
The phases of our application procedure:
Want to know more about this job function?
Questions about the application procedure
Feel free to contact our recruiter:
Venetia de Wit
+31615850813Send an email
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With this job opening, we want to recruit a new Eneco colleague ourselves. This is not a call for acquisition.
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