Senior AI Engineer

Are you a skilled Artificial Intelligence (AI) Engineer with experience across the full AI solution lifecycle, from model development and training to deployment and operation at scale? Do you enjoy combining deep technical expertise with practical, business-focused solutions that drive innovation and improve processes? If so, you could be our next Senior AI Engineer!

WHAT WE OFFER YOU  

You’ll have the opportunity to shape the future of AI at JYSK by helping accelerate AI adoption across the organization. As part of a high-performing, agile AI Engineering team, you’ll contribute to our strategic ambition of integrating AI into business processes across the company. If you’re passionate about technical innovation and enjoy solving real-world business challenges with AI, we’d love to hear from you!

Furthermore, we offer you: 

• A dynamic workplace in an international company focused on growth, innovation, and continuous development.
• A collaborative, open-minded environment with opportunities to engage across all organisational levels.
• A flexible work-from-home policy that supports a healthy work-life balance.
• Attractive employee benefits, including staff discounts across the Lars Larsen Group and a variety of social events throughout the year.
• Access to internal training, courses, and learning opportunities to support your personal and professional growth.
• A welcoming and supportive culture, complemented by a comprehensive onboarding programme to help you succeed from day one.
• A low-politics, low-ego culture where collaboration, ownership, and high standards are valued.

WHAT YOUR NEXT JOB WILL BE ABOUT  

As a Senior AI Engineer, you will be instrumental in developing AI solutions that drive innovation, enable data-driven decision-making, improve operations, and enhance customer experiences. You will bridge software engineering and machine learning, focusing on model experimentation, deployment, and integration to create scalable, efficient, and reusable solutions.

Your tasks and responsibilities in the job include: 

• Develop and scale end-to-end AI applications and MLOps pipelines using your deep software engineering background.
• Design, develop, and deploy end-to-end AI agent systems, from orchestration and tool integration to production deployment and monitoring.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, embedding workflows, and semantic search solutions where appropriate.
• Research, experiment with, and develop classical and state-of-the-art AI models across NLP, Computer Vision, Deep Generative Models, Graph Neural Networks, and Reinforcement Learning to improve and optimize JYSK’s business processes.
• Collaborate closely with data, AI, and platform engineers on complex projects to integrate cutting-edge models into impactful AI products.
• Managing AI workloads on Google Cloud Platform (GCP) to ensure optimal performance and resource efficiency. 
• Working with architects to refine AI solution design and contributing to solution planning phases. 
• Supporting end-users of AI solutions with a "you build it, you own it" mindset. 

You can read more about our department here.

WHAT SHOULD YOU BRING  

We are looking for a new colleague who: 

• Holds a degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field. A PhD is considered an advantage.
• Has 5+ years of industry experience in software engineering, designing and implementing AI solutions at scale using Python.
• Has a strong foundation in machine learning algorithms, with experience spanning both discriminative and generative models applied to structured data, natural language, and vision.
• Has experience developing, deploying, operating, and monitoring AI models in production at scale, preferably on Google Cloud Platform (or equivalent experience with Azure or AWS and a willingness to work with GCP).
• Has hands-on experience in one of the following areas: Building AI agents at scale integrated with advanced Retrieval-Augmented Generation (RAG) systems. Pre-training, fine-tuning, or post-training large language models (LLMs). Developing and deploying state-of-the-art generative AI solutions for computer vision in real-world environments.
• Works independently on complex technical challenges while collaborating effectively with stakeholders to ensure successful outcomes.