AI/Large Language Model Engineer

Summary

Join Mobietrain, a company developing an AI-driven performance enablement platform for frontline workers, as an AI/LLM Engineer. You will play a key role in developing and scaling AI-driven features that transform the employee experience. This involves integrating existing large language models (LLMs) and building proprietary models to enhance the platform's functionality. You will collaborate with product managers, designers, and other engineers to bring innovative solutions to life, contributing to the company's growth and making a real difference for customers and users.

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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• 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