About the job
Tucows Domains stands as the globe's largest wholesale domain registrar, dedicated to preserving the integrity, neutrality, and accessibility of a crucial yet often unseen facet of the Internet: the domain name system (DNS).
As a key member of Tucows—recognized among the largest Internet companies worldwide—Tucows Domains boasts a rich legacy of enhancing online experiences, operating globally under the Ascio, Enom, Hover, and OpenSRS brands.
We champion a people-centric approach grounded in respect, trust, and flexibility. We understand that the best outcomes for our employees translate to success for us. That's why the majority of our roles are remote-first, allowing you to work from anywhere with an Internet connection! Currently, our team comprises over one thousand individuals from more than 20 countries.
If this resonates with you, become a part of our innovative team!
About the Opportunity
We are on the lookout for a dedicated Intermediate Software Engineer with a focus on Artificial Intelligence (AI) to join our expanding team. In this pivotal role, you will contribute to the design and development of groundbreaking AI-driven systems that redefine user interaction with domain-related tools and services. Collaborating with a team of forward-thinking engineers and cross-functional colleagues, you will prototype, develop, and deploy intelligent solutions utilizing open-source models and contemporary infrastructure.
This is a hybrid role, requiring attendance at our Toronto office 3 days a week for collaborative efforts.
What You’ll Do
- Design and implement AI-driven features for our domain services platform utilizing Python and Golang.
- Integrate and optimize open-source models like LLaMA 3.2 and other cutting-edge architectures through tools like Ollama.
- Research, assess, and deploy emerging AI technologies that align with our vision for innovative, user-friendly products and services.
- Work alongside internal stakeholders and fellow engineers to rapidly prototype and iterate on machine learning and LLM-based features.
- Contribute to a modern AI development stack, ensuring scalability, performance, and ethical usage of AI models.
- Engage actively in the open-source community and bring relevant tools and methodologies back to the team.

