Senior Software Engineer, AI/ML.

Accountabilities

• Serve as the team's AI/ML subject matter expert, staying informed about emerging technologies, industry trends, and best practices, and applying them to product solutions.

• Contribute to defining and documenting the AI strategy, ensuring alignment with product roadmaps and broader business objectives.

• Help establish project scope, technical approaches, milestones, and solution architecture at the beginning of each initiative.

• Design, develop, prototype, and integrate AI/ML solutions, including writing code and configuring external components.

• Produce clean, maintainable code, unit tests, and comprehensive technical documentation.

• Participate in client discussions when required to understand needs and support solution delivery.

• Monitor priorities, deadlines, and backlogs while coaching and supporting team members in completing project deliverables.

• Build a strong understanding of the functionality being developed and provide technical guidance throughout implementation.

• Lead and participate in detailed code reviews, pair programming, and collaborative technical problem-solving.

• Contribute to recurring Product and Technology discussions, helping shape technical processes, architecture, and engineering strategy.

• Work collaboratively within an Agile development environment organized around two-week sprints.

Requirements:

• 6+ years of experience in software architecture, full-stack development, or AI engineering.

• Proven ability to design and document end-to-end software architectures for complex projects.

• At least 2 years of hands-on experience implementing advanced AI solutions, including semantic matching, Retrieval-Augmented Generation (RAG), and document parsing for structured content.

• Experience designing and deploying agentic systems using frameworks such as LangGraph, CrewAI, or the OpenAI Agents SDK.

• Familiarity with AI-assisted coding platforms such as Claude Code and Codex.

• Knowledge of Model Context Protocol (MCP), related tooling systems, model ensemble approaches, and fine-tuning techniques.

• Experience working with knowledge graph databases such as Neo4j.

• Working knowledge of Apache ecosystem technologies and data workflows, including Databricks, Spark, and Iceberg, or comparable tools.

• Experience integrating Human-in-the-Loop (HITL) processes into AI workflows.

• Ability to implement AI model evaluation frameworks, test results, and iteratively refine model performance.

• Strong software engineering fundamentals, including clean and modular coding practices and effective use of shared internal libraries.

• Ability to understand, validate, and take ownership of all code produced, including code generated or co-authored by AI tools.

• Experience writing comprehensive unit and integration tests, as well as clear technical documentation.

• Strong written communication skills, with the ability to create documentation that supports developer onboarding and collaboration.

• Excellent teamwork and collaboration skills, with a demonstrated ability to own development components and meet demanding deadlines.

• Experience mentoring colleagues and contributing to technical architecture discussions and brainstorming sessions.

Benefits:

• Annual salary range of CAD $125,000–$135,000.

• Fully remote work environment within Canada.

• Flexible time-away policy, including paid time off, personal days, and sick days.

• Competitive health and medical benefits.

• Employee contribution programs for RRSP, TFSA, or 401(k), as applicable.

• Life and disability insurance.

• Employee Assistance Program.

• Professional development opportunities through FHIR-focused study programs and Skillsoft learning resources.

• Access to employee community and engagement activities.