Job Title: Intermediate AI Engineer (Hybrid)

The Role

We are looking for a highly collaborative AI Engineer to join our team in Oakville. This is a "Forward Deployed" role, meaning you won’t just be building models in isolation—you will work directly with stakeholders to integrate scalable AI solutions into real-world business environments.

You will act as the technical bridge between our core engineering and business units, deploying Azure-based AI services while maintaining a robust full-stack environment. If you are an engineer who enjoys seeing your code solve immediate business problems, this role is for you.

Key Responsibilities

• Deploy & Integrate: Design and implement end-to-end AI solutions using Azure AI Services (Cognitive Services, Azure OpenAI, Azure Search).
• Forward Deployed Engineering: Work closely with non-technical teams to translate business needs into technical specifications and deploy solutions directly into their workflows.
• Full Stack Development: Build and maintain the application layer using .NET for the backend and Angular (or modern JavaScript frameworks) for the frontend to ensure seamless AI model consumption.
• Model Implementation: Utilize Python to develop, fine-tune, and orchestrate AI models, ensuring they communicate effectively with the .NET infrastructure.
• Collaboration: Participate in agile sprints, code reviews, and architectural discussions to ensure best practices in security, scalability, and maintainability.

Required Qualifications

• Experience: 1–4 years of professional experience in software engineering or data engineering.
• Cloud AI Expertise: Strong hands-on experience with Azure AI (specifically Azure Cognitive Services and Azure OpenAI).
• Backend Skills: Proficiency in .NET Core/C# is highly preferred; however, expert-level proficiency in Python is a mandatory minimum requirement for this role.
• Frontend Skills: Experience with Angular is preferred (React, Vue, or other JavaScript frameworks are acceptable).
• Soft Skills: Exceptional communication skills with a "customer-centric" mindset; ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications (Nice to Have)

• Certification: Microsoft Certified: Azure AI Engineer Associate (AI-102) is strongly desired.
• Experience with LangChain, Semantic Kernel, or similar orchestration frameworks.
• Familiarity with DevOps pipelines (Azure DevOps/GitHub Actions) for CI/CD of AI applications.

Why Join Us?

• Hybrid Flexibility: Enjoy the balance of working from home and collaborating in our Oakville office.
• Impact: Move beyond POCs—your work will be forward-deployed and used by real users immediately.
• Growth: We support your journey toward advanced certifications (like AI-102) and continuous learning in the rapidly evolving AI landscape.