Technical Product Engineer

Heart & Stroke is dedicated to promoting health and enhancing recovery. The Technical Product Engineer will support the design and rapid prototyping of AI and data integration initiatives, serving as a bridge between business needs and engineering delivery while contributing to solution design and development.

Responsibilities:

• Work closely with business stakeholders, Product Managers (including AI Enablement Product Manager), and Project Managers to understand business problems, workflows, and desired outcomes
• Help translate business requirements into clear technical requirements, assumptions, and solution concepts
• Work with AI consulting vendors
• Engage technology engineering stakeholders across applications, platforms, data and cloud infrastructure as required
• Communicate technical ideas, options, and constraints in a clear and accessible way to non-technical stakeholders
• Support collaborative working sessions to shape use cases and define prototype scope
• Analyze business needs and identify feasible technical approaches, including AI, automation, data integration, and application-based solutions
• Help determine when solutions are best addressed via configuration, low-code/no-code tools, or custom engineering
• Identify data inputs, integration points, and system dependencies required to support proposed solutions
• Document technical assumptions, constraints, and options to inform decision-making and prioritization
• Design and build lightweight prototypes, proof-of-concepts, and technical experiments to validate solution feasibility
• Develop small-scale integrations (e.g., API-based connections, data ingestion pipelines) where appropriate
• Leverage modern development frameworks and AI tooling to rapidly test and iterate on ideas
• Produce working demonstrations and artifacts to support business and technology decision-making
• Engage appropriate engineering, data, security, and infrastructure SMEs to assess production considerations early in the lifecycle
• Help identify non-functional requirements including performance, scalability, security, and maintainability
• Support the transition of validated prototypes into formal engineering delivery, including documentation of design, dependencies, and risks
• Contribute to solution design discussions under the guidance of senior technical leaders, using modern frameworks and engineering best practices
• Ensure code quality through standards, peer reviews, automated testing, and CI/CD pipelines
• Embed security and compliance into development workflows
• Partner with Director to advance engineering standards and operating model
• Drive automation, CI/CD robustness, observability, and documentation maturity
• Plan and execute a structural technical debt reduction exercise
• Contribute to internal application solution design standards, integration standards, API governance, and patterns (REST, event‑driven, messaging)
• Contribute to selected full-stack development and data integration and transformation work where scope is well-defined and supported by senior engineers
• Support development of front-end, backend, and integration components using modern frameworks and tools
• Assist in troubleshooting, testing, and improving solutions during pilot and early delivery phases
• Responsibly leverage AI tools such as Github Co-pilot to accelerate development and enhance quality
• Build knowledge of Heart & Stroke enterprise systems, data structures, and integration patterns
• Stay current with emerging AI tools, development frameworks, and prototyping approaches
• Develop skills in technical product thinking, solution design, and stakeholder collaboration
• Seek feedback and coaching to progressively take on more complex technical shaping responsibilities
• Support disaster recovery and high-availability strategies

Requirements:

• 0 - 2 years of relevant experience (including internships, co-op, or project-based experience) in software development, data integration, or AI-enabled applications
• Demonstrated experience contributing to full-stack application development, including front-end and backend components
• Experience working with APIs, external data sources, or asynchronous data processing workflows
• Exposure to cloud-based development environments (e.g., AWS, Azure, or GCP)
• Experience building prototypes, proof-of-concepts, or experimental solutions to solve real-world problems
• Experience with user-centered design practices
• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline
• Demonstrated academic focus or coursework in software development, data systems, and artificial intelligence
• Strong foundational programming skills in modern languages such as Python, JavaScript, or TypeScript
• Experience with full-stack application development, including front-end interfaces, backend services, and API integration
• Familiarity with data integration concepts, including working with external data sources, structured/unstructured data, and asynchronous processing workflows
• Exposure to AI-enabled application development, including prototyping with LLMs, automation tools, or machine learning-based solutions
• Understanding of modern development practices such as version control, testing, CI/CD, and deployment workflows
• Familiarity with cloud-based development environments and services
• Ability to translate business needs into technical approaches, prototypes, and solution options with guidance from senior team members
• Strong analytical, problem-solving, and troubleshooting skills
• Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders
• Curiosity, adaptability, and a strong learning orientation in a fast-evolving technology environment
• Ability to work collaboratively across product, engineering, data, and business teams
• Experience developing or experimenting with AI/ML or LLM-based solutions (e.g., integrating models into applications, working with structured/unstructured data)
• Participation in hackathons, innovation challenges, or technical competitions that examine both business and technology implications and outcomes
• Experience working on user-facing applications with performance or usability considerations
• Exposure to CI/CD pipelines, deployment workflows, or DevOps practices
• Experience working on projects with multiple developers using shared codebase and multiple external integrations
• Combined exposure to both technical (software/engineering) and business or product-oriented coursework or internship experience
• Participation in applied research, capstone projects, or technical competitions related to software and AI
• Experience with frameworks and tools such as React, Next.js, Node.js, Flask, or FastAPI
• Exposure to AI/ML tooling, prompt engineering, model integration, or multimodal AI use cases
• Experience working with APIs, dashboards, or user-facing applications
• Exposure to AWS, Azure, or GCP