.Your wellbeing matters.
Join a company that cares.GET TO KNOW USWellhub (formerly Gympass*) is a corporate wellness platform that connects employees to the best partners for fitness, mindfulness, therapy, nutrition, and sleep, all included in one subscription designed to cost less than each individual partner.
Founded in 2012 and headquartered in NYC, we have a growing global team in 11 countries.
At Wellhub, you have the opportunity to build a career in a high-growth tech company that places wellbeing at the foundation of its culture, and contribute to making every company a wellness company.
*Big news: Gympass is now Wellhub!We are thrilled to announce our rebranding as Wellhub, marking a significant milestone in our journey.
This transformation reflects our evolution from a "pass for gyms" to a comprehensive employee wellbeing solution.
With our refreshed identity, we are poised to embark on an exciting new chapter of growth and expansion.
We are elevating our offerings, including a completely new app experience and an expanded network of wellbeing partners.THE OPPORTUNITYWe are hiring a Software Engineering Manager for our GenAI team in Portugal!
Our GenAI team leverages advanced AI technologies to personalize user experiences, streamline operations, and optimize resources, acting as a hub for innovation while enabling Wellhub to harness the full potential of generative AI across multiple domains.We are looking for a passionate and skilled Lead Software Engineer to join our team and help us build the next generation of AI-powered solutions.
This role focuses on generative AI, Retrieval-Augmented Generation (RAG) + LLMs fine tuning, and API integrations.
Talented Software Engineering Managers of any area who would like to shift their career to invest in AI are welcome to apply if they are a match to some of the qualifications and preferred qualifications listed below.
Such candidates must be avid learners and be prepared to learn fast.YOUR IMPACTYou will be working on one or more of the following exciting areas:Generative AI Development:Design, develop, and implement generative AI based applications.Work with large language models (LLMs) to create innovative applications and solutions.Conduct research to stay updated with the latest advancements in generative AI.Retrieval-Augmented Generation (RAG):Develop and optimize RAG systems to enhance the performance and accuracy of AI models.Implement robust data retrieval mechanisms to support RAG frameworks.Collaborate with data engineers to ensure seamless integration of data pipelines.API Development and Integration:Design and develop APIs to interface with various AI models and services.Ensure APIs are secure, scalable, and performant.Ensure seamless integration of our AI applications with other software systems, enhancing interoperability and functionality (e.G., WhatsApp, Slack, Teams, Google Chat, and other 3rd party mobile applications)