AI Summary
Join a leading e-commerce platform to build AI-first engineering solutions. Contribute to customer-facing systems, integrate AI tools, and coach teams on effective usage. Experiment, learn, and improve to shape AI-first standards.
Key Highlights
Build AI-powered internal tools
Integrate AI APIs into real products
Coach teams on effective GenAI usage
Technical Skills Required
Benefits & Perks
Competitive salary (220,000 CAD)
Hybrid flexibility
Relocation support
Learning budgets
Job Description
Software Engineer / AI Enabler - Java or TypeScript - Toronto - 220,000 CAD
Help Build the Future of AI-Accelerated Engineering
We are a leading global e-commerce platform undergoing a major transformation. As AI reshapes how great software is built, we’re creating a new group of engineers who will multiply the impact of entire teams.
This role is for hands-on software engineers who love using GenAI tools, shipping real product features, and helping an organisation become truly AI-first.
Not research.
Not modelling.
Real engineering — accelerated by AI.
What You’ll Do Build great products, faster
- Join a product engineering team and contribute directly to customer-facing systems.
- Work across modern stacks such as TypeScript/Node.js/Next.js or Java/Spring Boot, running on AWS/Azure/GCP.
- Use GenAI every day to accelerate design, development, debugging, testing, documentation and operations.
- Build and evolve AI-powered internal tools (coding assistants, review helpers, documentation agents, testing bots).
- Integrate APIs like OpenAI, Anthropic, Azure OpenAI, Vertex AI, Claude into real products and workflows.
- Coach teams on effective GenAI usage — what works, what doesn’t, and how to use AI safely.
- Share patterns, anti-patterns, and best practices across the engineering organisation.
- Help shape AI-first standards, playbooks and ways of working.
- Run small, data-informed experiments to validate new tools and workflows.
- Measure the impact and turn successful approaches into repeatable standards.
- 5+ years building production systems in large, evolving codebases.
- Strong experience with TypeScript/Node.js/Next.js or Java/Spring Boot.
- Skilled in writing maintainable, well-tested and well-structured backend or full-stack features.
- Daily usage of tools like GitHub Copilot, Cursor, Codeium, Replit Agent, ChatGPT for coding.
- Built features or internal tools using OpenAI/Anthropic/Azure OpenAI/Vertex AI.
- Experience with LLM integration, prompt engineering, RAG, tool/function calling, or AI-powered automation.
- Curious, growth-oriented, comfortable learning in public.
- Strong communicator who can introduce new tools, handle scepticism, and help others level up.
- Pragmatic: understands GenAI strengths and limitations, and knows how to apply guardrails (reviews, tests, policies).
- A highly international engineering organisation with 50+ nationalities.
- Modern offices with collaborative spaces, social areas and flexible working environments.
- Hybrid flexibility, relocation support, learning budgets, and a culture that encourages experimentation.
- Real influence: your work will shape how hundreds of engineers build software.
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