ERAKULIS® is an all-in-one wellness experience for Fitness, Nutrition and Mental Balance, founded by Cristiano Ronaldo. Taking care of physical and mental health is essential for a fulfilling life, and we are here to support individuals every step of the way. Behind your customized plan, we have a team of certified experts who will take the time to listen to your story, understand your aspirations, and craft a tailored wellness experience plan that aligns with your goals and lifestyle. Erakulis is present in every corner of the world and our goal is to become a renowned leader in the wellness industry on a global scale.

We are looking for an AI Engineer to drive the next phase of our AI capabilities. You will build and optimize ML/NLP models that generate personalized recommendations, summaries, and behavioral insights. This could includes fine-tuning LLMs, developing lightweight alternatives, and using techniques like Retrieval-Augmented Generation (RAG) to ground AI responses in user-specific data.

Responsibilities

• Design, develop, and deploy ML/NLP models tailored to wellness-related applications.

• Fine-tune large language models (e.g., LLaMA, Mistral, GPT, etc.) on domain-specific data

• Build Retrieval-Augmented Generation (RAG) systems using user data and content repositories

• Collaborate with data engineers and wellness experts to gather requirements and ensure models meet user needs.

• Conduct research to identify opportunities for applying machine learning in wellness.

• Analyze large datasets to extract insights and improve existing algorithms.

• Monitor and evaluate the performance of machine learning models, making necessary adjustments to optimize outcomes.

• Stay current with emerging technologies and best practices in AI and machine learning.

• Communicate findings and recommendations to stakeholders clearly.

Requirements

• Strong experience in machine learning and natural language processing.

• Hands-on experience with programming languages such as Python and/or Go.

• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.

• Experience with LLM fine-tuning and embedding-based retrieval systems.

• Familiarity with cloud platforms (AWS, GCP, Azure) for deploying machine learning models.

• Excellent analytical and problem-solving skills.

• Strong communication skills, with the ability to present complex information in a clear and concise manner.

• Experience applying machine learning in wellness, healthcare, or related fields is a plus.

• Timezone from GMT-1 to GMT+4.

Benefits

• Build AI that positively impacts health and daily habits.

• Remote-first work environment with flexible hours.

• High ownership: influence product decisions and technical direction

• Opportunities for professional development and career advancement.

• Dynamic and collaborative work environment.

• Access to company wellness programs and other resources.