Job description
Description
Are you excited about creating AI-driven solutions to solve real-life problems? Do you have experience with large language models (LLMs) and how it can be used to develop intelligent, personalized experiences for users? Are you interested in joining a scale-up with ambitious goals to revolutionize employee performance? We might be looking for you!
About Us
At Mobietrain, we provide a mobile-first, AI-driven performance enablement platform designed to empower frontline workers. We are with +/- 40 employees based in the Netherlands (Amsterdam), Belgium and Italy. We have 150+ customers, mostly from the Retail, Hospitality and Logistics industries. Our platform helps companies drive growth, communication and engagement by integrating personalized learning, coaching, and performance support into one seamless experience. As part of a company focused on empowering the millions of frontline workers who drive key industries, your work will have a direct impact on shaping the future of employee development and improving performance on a global scale.
Requirements
The Role
We’re looking for a passionate AI/LLM Engineer who will play a critical role in the development of our product and help us develop and scale AI-driven features that transform the employee experience. In this position, you’ll integrate existing large language models (LLMs) and later help build proprietary models to enhance our platform’s functionality. You will work alongside product managers, designers and other engineers to bring new innovative solutions to life. You’ll have the opportunity to take a leading role in developing our AI-driven features, helping to scale our business and make a real difference for our customers and users.
What You’ll Do
Integrate LLMs: Leverage existing LLM models to build AI-driven features like personalized learning recommendations, adaptive content, and performance insights.
Prototype & Iterate: Rapidly prototype and iterate on AI features based on user feedback and technical requirements, focusing on impactful results.
Develop Data Structures: Work with the team to design scalable data architectures that support AI integration seamlessly.
Optimize Models: Continuously monitor and improve AI model performance to meet user needs and business goals.
Develop Proprietary Models: Contribute to building custom AI models as we scale to meet unique business requirements.
Collaborate with Teams: Partner with engineers, product managers, and designers to ensure smooth AI feature integration and a user-friendly experience.
Documentation & Best Practices: Maintain clear documentation and adhere to best practices for AI model integration and deployment.
Requirements
AI/ML Engineering: Deep knowledge of AI/ML principles, model optimization, and deployment (with experience in machine learning libraries like Hugging Face)
LM Experience: Proven experience integrating LLMs (e.g., GPT, BERT) into production systems.
Prompt Engineering & RAG: Strong understanding of prompt engineering, RAG pipelines, and vector databases.
Data Architecture: Experience designing scalable data structures to support AI systems.
Cloud Platforms: Familiarity with deploying AI models on cloud platforms (AWS, GCP, Azure).
Problem-Solving & Innovation: Strong problem-solving abilities and a passion for experimenting with AI solutions.
Preferred Skills
SaaS Experience: Familiarity with AI solutions in SaaS; experience in learning and performance enablement domain would be a plus.
AI Cost Optimization: Understanding of managing the cost of deploying and maintaining LLMs at scale.
AI Ethics: Knowledge of ethical AI practices and mitigating biases.
AI Product Design: Experience designing AI-powered features beyond chat (e.g., coaching assistants, smart dashboards).
Scalable AI Systems: Proven ability to architect scalable AI systems integrated with cloud platforms and backend services.
What We Offer
A dynamic and collaborative work environment where you can help shape the future of employee performance enablement.
Competitive salary and benefits package.
Flexible work-from-home or in-office options in Amsterdam.
The chance to work with a forward-thinking team that values growth, innovation, and continuous improvement.
Opportunities for professional development and career growth.
How to Apply
Join us as we build the future of AI-driven performance enablement. If you’re passionate about AI and ready to make a meaningful impact on how the world learns and performs, this is your opportunity. Please submit your resume, portfolio, and a brief cover letter explaining why you’re a great fit for the role.
