Senior Software Engineer, AI/ML (Remote Canada)

Job description

Working for a company like Smile Digital Health means supporting our mandate for ***#BetterGlobalHealth***. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024! Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform. At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing ***#BetterGlobalHealth*** to patients everyday! **Apply today and find plenty of reasons to SMILE!** The Senior Software Developer ( AI/ML) is part of the Smile Labs team in the Product Department and will be responsible for developing the Artificial Intelligence strategy and software components for AI and Machine Learning that build on top of Smile Digital Health products. The team focuses on customer-specific requirements in a scalable solution model. You will work in an Agile environment with 2-week sprints. ### Responsibilities: - Be the AI/ML subject matter expert on the team. Stay abreast of emerging technologies, trends and opportunities, and infuse AI/ML strategy and best practices into our solutions. - Help document the company’s AI strategy and ensure alignment with the product roadmap and company objectives. - Help shape the approach, scope, milestones, and solution design at the project start. - Implement AI/ML solutions with the development team; write code, configure external components and prototype new technology. - Write manageable code and unit tests and create relevant documentation. - Participate in client meetings if required. - Remain acutely aware of all priorities, deadlines, and backlogs to positively coach and assist the team in completing the required project tasks. - Understand the functionality being developed to provide support to the team. - In-depth in-person code reviews, pair programming, and collaborative problem analysis. - Participate in recurring Product and/or Technology meetings to suggest or actively participate in corporate technical processes, architecture, and strategy, as required. ### Requirements: - 6+ years of experience in software architecture, full-stack development, or AI engineering - Proven experience designing and documenting end-to-end software architectures for complex projects - At least 2 years of experience implementing advanced AI solutions, including semantic matching, RAG systems, and document parsing for structured content - Experience designing and deploying agentic systems using frameworks such as LangGraph, Crew AI, or the OpenAI Agents SDK - Working knowledge with coding assisted platforms like Claude Code, Codex - Knowledge of Model Context Protocol (MCP), related tooling systems, model ensemble methods, and fine-tuning techniques - Usage experience with Knowledge Graph databases like Neo4j or others - Working knowledge of Apache suites like Databricks, Spark, and Iceberg or other related workflows - Experience with Human-in-the-loop (HITL) integrations within AI workflows - Experience implementing evaluation frameworks, results testing, and iterative refinement techniques for AI models - Proficient in coding best practices, including writing clean, modular code and utilizing shared internal libraries - Deep understanding of all authored code, including code generated or co-authored by AI tools - Experience writing comprehensive unit and integration tests, along with accompanying technical documentation - Ability to author clear, concise documentation that enables seamless developer onboarding and project contribution - Strong collaboration skills with a track record of owning specific development components and meeting strict deadlines - Experience mentoring team members and collaboratively brainstorming technical architectures