Technical Product Engineer at Heart & Stroke in Remote

Summary: 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Software development, Full-stack application development, Front-end development, Backend development, API integration, Data integration, Asynchronous data processing, Cloud-based development environments, Prototyping, Proof-of-concept development, AI-enabled application development, Version control, Testing, CI/CD pipelines, Deployment workflows, Python, JavaScript, TypeScript, Curiosity, Learning orientation Benefits: Paid wellness days, Personal days, Health, Medical, Dental, Vision benefits, Flexible hybrid working arrangements, Support with reimbursement for mobile phones and home office set up