Technical Product Engineer - 12 Month Contract

Heart & Stroke

2d•Hybrid

About The Position

The Technical Product Engineer supports the design, technical shaping, and rapid prototyping of AI, automation, data integration, and selected application initiatives. As Heart & Stroke advances its digital and AI capabilities, this role serves as a technical bridge between business-led product initiatives and engineering delivery, helping translate business needs into feasible solution concepts and working prototypes. The role contributes to early-stage solution design, builds proof-of-concepts, and partners with senior engineering, data, security, and operations SMEs to assess production readiness and scalability. This is a practical, dual role: providing technical shaping for proof of concepts and also, developing code for Heart & Stroke’s software custom application and data integration releases. This is a hands-on, early-career role focused on learning, experimentation, and contribution. The role works under the guidance of senior technical leaders to develop practical solutions, validate ideas, and support the transition of approved initiatives into formal engineering delivery streams. The ideal candidate brings strong foundational software engineering skills, curiosity about AI-enabled solutions, and an interest in growing toward technical product ownership and solution design over time.

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.
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
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

Nice To Haves

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

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.