Intermediate Software Engineer - Artificial Intelligence (AI)

Tucows Inc.

1d•Remote

About The Position

We ext{We’re looking for a passionate Intermediate Software Engineer specializing in Artificial Intelligence to join our growing team. In this role, you’ll help shape and build innovative AI-powered systems that transform how users interact with domain-related tools and services. You’ll work both with your team of forward-thinking engineers and with colleagues across business functions to prototype, develop, and deploy intelligent solutions using both commercial and open-source models along with modern infrastructure. This is a remote position open to applicants in Canada.

Requirements

Bachelor’s degree in software engineering, computer science, or related field, with strong proficiency in Python and Golang.
3+ years of professional software engineering experience in production environments.
Solid understanding of modern AI/ML/LLM concepts, particularly transformer-based and open-source models.
Hands-on experience with frameworks such as TensorFlow, Hugging Face, or similar.
Experience using open-source models (e.g., LLaMA, Mistral, Mixtral) in real-world applications.
Strong foundation in software design principles and service-oriented architecture.
Experience contributing to scalable system and component-level architecture.
Ability to design and build RESTful APIs for model serving and AI-enabled workflows.
Understanding of API best practices, including versioning, security, and error handling.
Working knowledge of relational and/or SQL databases and data modeling for AI use cases.
Experience with containerization and cloud-native deployment of AI services.
Strong collaboration, communication skills, and enthusiasm for emerging AI technologies.

Responsibilities

Design and build AI-driven features for our domain services platform using Python and Golang.
Integrate and fine-tune open-source models with cutting-edge architectures via tools like Ollama.
Research, evaluate, and implement emerging AI technologies that align with our vision for smarter, more intuitive products and services.
Collaborate with 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 models.
Actively participate in the open-source ecosystem and bring relevant tools and techniques back to the team.
Implement software solutions with “intelligent” features, helping teams automate tedious and repetitive tasks.