Senior Software Developer

Must Haves

• Design, develop, test and support AI-powered applications and workflows
• Develop and integrate AI agents into a secure web-based platform
• Develop APIs and application services that support AI capabilities, document processing and workflow automation.
• Implement human-in-the-loop workflows that allow users to review, validate and approve AI-generated content.
• Develop APIs and application services that support AI capabilities, document processing and workflow automation.

Description / Responsibilities / SkillsDescription

• Supports development of the Curriculum AI Assistant Platform combining AI agents and user workflows.
• Accelerates curriculum development while keeping curriculum experts responsible for all decisions and approvals.

Full Stack Development and Solution Architecture – 45%

• Experience implementing Azure Active Directory (Entra ID), SSO, MFA, authentication and authorization controls.

Experience & Skill Set RequirementsFull Stack Development and Solution Architecture – 45%

• Experience designing, developing, testing and supporting enterprise web applications.
• Experience with front-end and back-end development using modern development frameworks and design patterns.
• Experience designing and implementing scalable application architectures.
• Experience developing and integrating REST APIs, application services and middleware components.
• Experience integrating front-end applications with APIs and backend services.
• Experience working with relational databases, data modelling, SQL and data integration solutions.
• Experience designing, developing, testing, debugging and maintaining application code.
• Experience designing and implementing CI/CD pipelines and automated deployment processes.
• Experience developing AI-enabled applications using Large Language Models (LLMs), AI services or AI platforms.
• Experience designing and implementing Retrieval-Augmented Generation (RAG), knowledge retrieval and document processing solutions.
• Experience developing and integrating AI agents and multi-step workflow solutions.
• Experience implementing source traceability, output validation and auditability features.
• Experience working with Azure services such as Azure Functions, API Management, Logic Apps or similar cloud technologies.
• Experience implementing Azure Active Directory (Entra ID), Single Sign-On (SSO), Multi-Factor Authentication (MFA), authentication and authorization controls.
• Understanding of Angular, JavaScript, HTML, CSS and modern web development practices.

Pay: $160,000.00-$180,000.00 per year

Experience:

• Azure Data Bricks: 6 years (required)
• ETL: 9 years (required)
• Medallion Data Lakehouse: 10 years (required)

Work Location: Hybrid remote in Toronto, ON