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Tucows

Making the Internet better since 1993. We're in the business of building platforms that keep people connected.

Intermediate Software Engineer – Artificial Intelligence, AI

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 1,001-5,000H1B No SponsorCompany SiteLinkedIn

Location

Canada

Posted

49 days ago

Salary

$100.4K - $111.5K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglishCloudPythonSQLTensorflowGo

Job Description

Intermediate Software Engineer – Artificial Intelligence, AI

Tucows

• 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.

Job Requirements

  • Bachelor’s degree in software engineering, computer science, or related field
  • 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.

Benefits

  • fair compensation
  • generous benefits

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