AI/ML Software Engineer shaping AI strategy and building scalable AI/ML components. Developing solutions atop Smile Digital Health’s FHIR-based healthcare data platform.
Responsibilities
Serve as the AI/ML subject matter expert on the team
Stay abreast of emerging AI/ML technologies, trends, and opportunities
Infuse AI/ML strategy and best practices into solutions
Help document the company’s AI strategy and align it with the product roadmap and company objectives
Shape project approach, scope, milestones, and solution design at project start
Implement AI/ML solutions with the development team
Write code, configure external components, and prototype new technology
Write maintainable code and unit tests and create relevant documentation
Participate in client meetings when required
Track priorities, deadlines, and backlogs and coach or assist the team with project tasks
Understand functionality being developed to support the team
Conduct in-depth code reviews, pair programming, and collaborative problem analysis
Participate in Product and Technology meetings and contribute to technical processes, architecture, and strategy
Requirements
5+ 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 two 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
Benefits
Remote Work Environment
Flexible Time Away From Work Policy including PTO, Personal and Sick Days
Competitive Salary and Health/Medical Benefits
RRSP/TFSA/401K Employee Contribution
Life and Disability
Employee Assistance Program
FHIR Study Program and Skillsoft Learning
Super HAPI Fun Club
Workplace accommodations during interviews or while working at Smile
Diversity, equity, and inclusion-focused workplace
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