Intermediate Software Engineer - Artificial Intelligence (AI)

About the Opportunity

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 or USA.

What You’ll Do

• 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.

Key Skills and Experience

• 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.