Senior Software Engineer / AI Enabler (Toronto)

Senior Software Engineer / AI Enabler (Toronto) My client is the market leader and one of Europe's largest digital platforms in their sector. They are defining the future of their industry. They are an established business with over 30 million users—and they are committed to becoming

AI-first . They thrive on complexity and are not looking for simple Proofs-of-Concept; they are integrating Generative AI to multiply the impact of their entire Product & Technology organization, challenging how software is built at scale. If candidates are driven by curiosity and a commitment to continuous learning, this is their chance to shape the next era of the platform.

The Opportunity: An AI Multiplier Role This is a high-impact, hands-on role for a seasoned Software Engineer who is personally excellent at leveraging GenAI tools (like Copilot, Cursor, etc.) and is ready to turn that personal edge into

organisational superpower . They will transition from being an expert user to an

AI Enabler —a force multiplying their engineering productivity and raising the bar for quality across large, existing codebases.

What They Need Candidates to Do:

Hands-On Development:

They need candidates to join a core product team and work directly on their primary codebases (e.g.,

TypeScript/Node/Next.js or Java/Spring Boot ), applying an AI-first mindset to the full "you-build-it-you-run-it" lifecycle.

Build AI Tools:

They expect candidates to design, build, and evolve AI-powered internal tools and workflows (assistants for coding, reviews, documentation) that engineers across their organisation rely on daily.

LLM Integration:

Candidates will integrate commercial LLM APIs (OpenAI, Anthropic, Azure OpenAI, Vertex AI) into production applications and internal systems, mastering techniques like

Prompt Engineering, RAG (Retrieval Augmented Generation), and Function Calling .

Cultural Leadership:

They need candidates to act as a multiplier and culture driver—coaching teams on effective GenAI usage, establishing best practices, and ensuring guardrails are in place to make usage safe and compliant at scale.

Experimentation:

They require candidates to run data-informed experiments with teams to discover what GenAI practices work best in their context and transform successful approaches into repeatable standards and playbooks.

What They Need Candidates to Bring:

Senior Engineering Depth:

Deep, hands-on experience (5+ years) building and maintaining production systems, ideally with

TypeScript/Node.js/Next.js or Java/Spring Boot

on a major cloud platform ( AWS, Azure, or GCP ).

GenAI Proficiency:

Demonstrated personal excellence in using GenAI coding tools (e.g., GitHub Copilot, Cursor, Codeium) to significantly boost their own development speed, quality, refactoring, and documentation.

LLM Integration Experience:

Proven ability to integrate and deploy solutions using LLM APIs (OpenAI, Anthropic, etc.) into applications or internal tools.

Influence & Drive:

Strong communication and influencing skills necessary to introduce new practices, align stakeholders, handle skepticism, and drive organisational change.

Pragmatic Curiosity:

A growth-oriented mindset combined with a pragmatic view of GenAI—understanding its limitations and knowing how to implement guardrails for sustainable adoption.

Why Join the Client?

Impact:

Candidates will directly influence the technical roadmap and culture of a market leader.

Flexibility:

They offer a hybrid model, with options to work from

Munich, Düsseldorf, or remotely from Canada .

Culture:

They offer a diverse community with the tools and support needed to continuously learn and grow.

Ready to put your ideas in the driving seat? Apply Now!

Location: Toronto, Ontario, Canada

Salary: CA$80,000.00 – CA$120,000.00

Seniority Level: Mid‑Senior level

Employment Type: Full-time

Job Function: Information Technology and Engineering

Industries: Software Development and Information Services

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