AI Engineer

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.