About the role

AI Engineer developing AI solutions on Horizon for renewable energy optimization. Collaborating with product managers and software engineers to design and deploy LLM-powered systems.

Responsibilities

Connect to diverse data sources within the Horizon platform, including operational data, structured metadata, and technical documentation, and design Retrieval-Augmented Generation (RAG) pipelines for scalable AI systems.
Extract, transform, and structure data for optimal use with LLMs, manage embeddings, indexing, and context retrieval, and ensure AI models are grounded in accurate, real-world information.
Design, deploy, fine-tune, and continuously improve production-grade LLM and multimodal agents, optimizing prompts, mitigating hallucinations, and evaluating performance to deliver reliable, context-aware outputs.
Build and maintain client-facing AI assistants and chatbots, explaining system behavior, capabilities, and limitations to both technical and non-technical stakeholders, and integrating AI features seamlessly into Horizon workflows.
Stay up to date with advances in generative AI, agent-based systems, and instruction-tuned models, experimenting with frameworks like LangChain and collaborating on experiments using large instruction-tuned models.
Collaborate closely with product and software teams to take AI solutions from concept to production, ensuring features are robust, scalable, and directly support Horizon users in monitoring, optimizing, and managing renewable energy assets.

Master’s degree or equivalent experience in Mathematics, Data Science, Computer Science, Machine Learning, or a related field,
Hands-on experience with Large Language Models (LLMs) or generative AI systems,
Experience with RAG pipelines, embeddings, and prompt optimization,
Strong understanding of Transformer architectures and fine-tuning,
Proficiency in Python,
Familiarity with CI/CD, Docker, Kubernetes (K8s), and Git is a plus,
Fluency in written and spoken English.
You are curious, adaptable, and proactive, thriving in collaborative, fast-moving environments. You take ownership of projects, communicate complex AI concepts clearly to technical and non-technical stakeholders, and enjoy solving challenging real-world problems.

Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry,
Receive guidance from colleagues through coaching, mentoring and participating in international networks,
Advance your professional skills and technical expertise, through individual competence development plans and tailored training,
Be part of a world growing and renowned organization with origins dating back to 1864.
Other than you can expect:
Medical Scheme,
Commuting Allowance,
Life Insurance,
Pension Plan,
Kindergarten Allowance,
40 hours per week with a flexible schedule. Friday
Home working allowance (up to 2 days per week),
23 days of annual leave,
Employee Referral scheme.
DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.