Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 3 Kubernetes @ 3 Terraform @ 3 Python @ 2 CI/CD @ 3 Machine Learning @ 3 Data Science @ 3 Azure @ 3 MLFlow @ 3 Microservices @ 3 API @ 3 NLP @ 3 LLM @ 3 PyTorch @ 2Details
Drive Eneco’s climate-neutral mission by 2035 through cutting-edge GenAI solutions that make customers greener every day. Shape and scale Eneco’s next-generation AI platform — where Machine Learning meets real-world impact. Join a collaborative, forward-thinking team that values innovation, learning, and building AI products that truly matter.
Why choose Eneco?
The One Planet strategy at Eneco sets an ambitious goal to be climate neutral by 2035 for both the company and its clients. To achieve this, Eneco is dedicated to offering customers innovative digital capabilities and smart solutions. The team is creating an exceptional online customer experience by modernizing the Eneco chat, app and web environments, delivering AI-driven features that make it easier for customers to become greener every day.
Responsibilities
- Design pipelines that ingest, process, and interpret non-structured data.
- Design, develop, and maintain 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. Azure AI Search).
- Monitor platform usage, costs, and GenAI/LLM-related metrics.
- Create evaluation frameworks for chatbots or GenAI-related applications.
Requirements
Must Have:
- Infrastructure as Code experience: Terraform or similar tools.
- Experience working in a platform team and the ability to design systems that support multiple teams and use cases.
- Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and open-source models.
- Strong programming skills in Python and familiarity with ML/AI toolkits such as PyTorch, Hugging Face Transformers, LangChain, etc.
- Experience deploying ML/AI systems in production.
- 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.
- Experience with REST APIs, microservices, and scalable backend systems.
- Familiarity with prompt engineering, RAG, and model fine-tuning techniques.
- Production experience with cloud platforms, especially Azure.
- Pragmatic experience with pro-code, low-code, or no-code solutions.
- Background in Machine Learning, NLP, or AI Engineering.
This is where you’ll work
You will work with other Machine Learning Engineers and Data Scientists to shape the GenAI platform so Eneco internal employees or external consumers can benefit from GenAI technology. The team encourages learning, collaboration, celebrating successes, and learning from failures.
Benefits
- Gross annual salary between €80.000 and €110.000 (including FlexBudget, 8% holiday allowance, and depending on role a bonus or collective profit sharing).
- FlexBudget: use it as pay, extra holiday, or save it.
- Personal and professional growth support from Eneco.
- Hybrid working: 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year (max 2 consecutively).
- Additional typical Eneco employment conditions and perks as linked on the company site.