Product Tools & AI Automation Developer

Position overview

Core pillars

• Create value through code by writing code, designing prompts, orchestrating agents, and building integrations.
• Standardize and converge by turning process gaps and repetitive practices into tools, templates, and workflows.
• Place humans at the center by working with internal users to understand friction points, co-build solutions, and support skill development.

Product AI tooling

• Design, deliver, and maintain AI agents, skills, and automations used by Product team members.
• Build integrations between existing systems and AI platforms.
• Establish quality, reliability, and security evaluation frameworks and iterate from prototypes to adopted tools.

Datasets and product practices

• Maintain the plugin architecture used for mock-data injection and design source files for realistic test-data generation.
• Generate datasets tailored to internal needs.
• Ensure code quality, maintain tool inventories, document architecture, manage versioning and deployment, and report usage and impact.
• Ensure security and compliance across deployed tools.

Adoption and collaboration

• Collaborate with Product Managers, Product Owners, Business Analysts, Technical Writers, and UX Designers to identify efficiency opportunities.
• Lead demonstrations, gather feedback, adjust tools, and contribute functional working tools to the organization’s AI culture.

Academic background and experience

• A bachelor’s degree in computer science, software engineering, or a related field, or equivalent experience, is required.
• At least 5 years of software development experience and 1 to 4 years of AI-tool-building experience are required.
• A portfolio or concrete projects demonstrating hands-on proficiency is required.

Technical skills

• Required technical skills include prompt engineering, language-model API integration, RAG architectures, and response quality and safety evaluation.
• Required programming skills include Python, C#, JSON, YAML, and CSV data manipulation.
• Required knowledge includes relational databases, SQL, Git or similar version-control tools, and security and data governance.
• Experience with agentic architectures, multi-agent workflows, function calling, MCP, or wealth management is an asset.

Communication and working style

• Strong French proficiency is mandatory because French is used for internal meetings and interviews.
• Excellent written and oral communication in French and English is required.
• The role values autonomy, resourcefulness, creativity, rapid learning, analytical thinking, user focus, and measurable impact.

Other information

• The position offers an annual salary and corporate profit-sharing plan.
• Benefits include hybrid work from Laval or Montreal offices, training and development, group insurance, group RRSP, and other workplace programs.

Workplace

• The position is hybrid and based at the Laval or Montreal offices.