Develop AI/ML strategy and production software for a healthcare data platform. Design architectures, implement semantic matching, RAG, document parsing, agentic systems, knowledge graphs, and evaluation workflows. Write clean, tested, documented code; conduct reviews and pair programming; collaborate with clients and product teams; mentor developers; and contribute to technical strategy and Agile delivery.
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
Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices.
This position is a replacement role, created to support Smile’s continued growth and commitment to operational excellence.
This position is a replacement role, created to support Smile’s continued growth and commitment to operational excellence.
Some of the benefits we offer:
* 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
Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work. We are dedicated to fostering a workplace that values diversity, equity, and inclusion.
We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile.
Smile Digital Health Toronto, Ontario, CAN Office
Toronto, Canada
Smile Digital Health Toronto, Ontario, CAN Office
Toronto, Ontario, Canada
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Defines and governs the end-to-end architecture for GM’s scalable co-simulation and virtual integration ecosystem. Responsibilities include establishing interfaces, packaging, execution, configuration, traceability, observability, quality standards, supplier requirements, and technical roadmaps across virtual ECUs, models, software, networks, and test environments. The role leads cross-functional architecture decisions, supports issue resolution, mentors engineers, and aligns global teams while partnering with specialized pipeline, toolchain, quality, and program organizations.
Top Skills:
AutosarCC++Ci/CdFmiFmuHilMatlabModelicaPythonRobot FrameworkSilSimulinkSsp
Cloud • Security • Software • Cybersecurity • Automation
Leads Growth Marketing operating rhythms, strategic cross-functional initiatives, budget tradeoffs, executive preparation, pipeline reviews, and leadership commitments. Acts as a strategic partner and delegate to the VP of Growth Marketing, influencing ten functions without direct authority. Requires extensive B2B software marketing leadership, broad marketing expertise, business and financial fluency, executive communication, hands-on AI use, and familiarity with developer or DevOps audiences.
Top Skills:
AIDevsecopsGitlab
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Create and implement high-quality real-time VFX for gameplay, environments, and characters in a large-scale open-world project. Prototype generative AI, procedural, and automated workflows; evaluate and integrate visual outputs; establish technical and visual standards; and optimize effects within memory, GPU, and CPU budgets. Collaborate with art, engineering, design, animation, lighting, and audio teams while documenting workflows and supporting other artists through knowledge sharing.
Top Skills:
AutomationBlenderEmbergenGenerative AiHoudiniMaterialsMayaNiagaraPbrPhotoshopProcedural SystemsReal-Time RenderingShadersUnreal Engine 5
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
