Senior AI Engineer

Are you ready to architect the intelligent future of global logistics? We are seeking a highly autonomous Senior AI Engineer to leverage deep expertise in Machine Learning and Generative AI, driving the design and end-to-end deployment of world-class AI solutions. If you are passionate about turning complex business challenges into intuitive, scalable, and high-impact products, step up to own the technical roadmap for AI on our fast-growing platform. Read more below or apply via the “apply for this job” button!

About Shypple

Shypple makes shipping simple.
With our easy-to-use platform and expert services, we are simplifying the complex world of logistics and providing our customers with a seamless shipping experience.

Our platform acts as a centralized dashboard, offering real-time visibility on every aspect of the supply chain and includes a wide range of features such as booking, planning, delivery, and communication possibilities. As a digital service provider, we are revolutionizing the logistics industry by bringing ease, accountability, and efficiency to the supply chain while lowering hassle, communication, and costs. We believe that the perfect solution to disrupting a traditional industry is a smartly developed system combined with a high-quality customer experience.

Your role as Senior AI Engineer

You will be working on simplifying a complex business, turning it into an intuitive and worldwide scalable product that enables companies to manage logistics in a more time and cost-efficient way. You will leverage your expertise in Machine Learning and Generative AI to architect and build the intelligent backend of our fast-growing shipping platform. Together with the team, you will design and deploy new AI-driven functionalities, taking responsibility for the technical future and intelligence of the platform. Your opinion and ideas matter at Shypple. You will focus on building AI solutions, defining and maintaining our LLM & ML models and data pipelines, and ensuring the high performance and responsiveness required for real-time decision-making. At our company, your vision for applying AI to solve real-world logistical challenges will be crucial to our success.

Your responsibilities

• End-to-End Implementation: Design, architect, and build complete backend AI solutions, taking full ownership from implementation to production deployment and monitoring.

• Code Quality & Testing: Ensure high-quality engineering by writing clean code, implementing unit tests, and actively driving refactoring efforts.

• AI Model Development: Lead the development, training, and fine-tuning of advanced AI models, including Large Language Models (LLMs), computer vision, and NLP solutions.

• Data Pipelines: Build and manage robust, scalable data pipelines to ensure the high-quality data needed to power our AI initiatives.

• LLMOps/MLOps: Implement and champion best practices for the automated deployment, monitoring, and continuous improvement of models in production.

• Performance Optimization: Optimize both AI models and backend workflows for speed, accuracy, cost and resource efficiency.

• Cross-Functional Collaboration: Work closely with product managers, engineers, and business stakeholders to translate complex requirements into tangible, high-impact AI solutions.

• Continuous Research: Stay at the forefront of the AI landscape by researching and applying cutting-edge techniques to solve real-world challenges.

• Cloud Infrastructure (Bonus): Experience utilizing cloud tools for advanced deployment, scaling, and system monitoring is a strong plus.

What Makes Shypple unique?
At Shypple, you’ll join a multicultural, collaborative team with a flat hierarchy where teamwork is key. We thrive on innovation, constantly reimagining logistics with AI and digital solutions. Your work will have a global impact, directly shaping how businesses manage their supply chains. We offer autonomy and ownership, giving you the freedom to define technical goals and drive projects forward. Enjoy a healthy work-life balance with hybrid work options, team activities, and a supportive culture.

We are looking for

• Development Experience: 3+ years of overall Software Development experience, with a strong foundation in backend engineering and end-to-end implementation, preferably Python, FastAPI (Bonus) Ruby on Rails.

• AI/ML Experience: 4+ years of hands-on experience in Artificial Intelligence, Machine Learning, and related disciplines, preferably

• LLM Expertise: 2+ years of demonstrated experience specifically building and deploying Large Language Models (LLMs) for real-world use cases.

• Problem-Solving & Business Acumen: Strong analytical skills with a deep interest in understanding product challenges and leveraging AI to develop effective solutions.

• Proactive Ownership: A highly motivated approach to driving key initiatives, taking full ownership of problem-solving, automation, and system architecture.

• Team Collaboration: Excellent communication skills with a proven ability to work seamlessly alongside cross-functional teams and stakeholders.

Work location

• Hybrid Model: This role requires you to work from our Rotterdam office 2 days a week, with the flexibility to work from home on the remaining days.

• Location Requirement: Candidates must be based in the Netherlands or willing to relocate (we offer a relocation package to assist with the move). Please note that fully remote options are not available for this position.

You get

• A great working environment with a team of talented developers who work together for extraordinary success;

• A salary between EUR gross 70.000-95.000 a year (depending on your experience);

• The opportunity to be a part of a great adventure where you can grow, develop and get the best out of yourself, including a yearly budget for personal development.

Interested?

You can apply by clicking on the ‘apply now’ button on our website. You will hear from us within one week. If you get selected for the first round, we will explain the next steps of our recruitment process.

If you have any questions related to this vacancy, please contact [email protected].