AI Product and Automation Tool Developer

About Croesus

Position

AI tooling and integrations

• Design, deliver, and maintain AI agents, skills, and automations for Product team members.
• Integrate existing systems with AI platforms and establish frameworks to evaluate tool quality, reliability, and security.
• Iterate with internal users to move prototypes into adopted tools.

Internal datasets

• Maintain and evolve the plugin architecture for injecting mock data.
• Design source files for realistic test-data generation and use tools to create datasets tailored to internal needs.

Standards and adoption

• Ensure code quality, maintain a tool inventory, and establish documentation, versioning, and deployment practices.
• Document architecture and technology choices; report on adoption, productivity gains, and deliverable quality.
• Ensure deployed tools meet security and compliance needs.
• Collaborate with Product colleagues, demonstrate tools, gather feedback, and support adoption and user skill development.

Education and experience

• Bachelor’s degree in computer science, software engineering, or a related field, or equivalent experience.
• At least 5 years of software development experience and 1 to 4 years building AI tools.
• Provide a portfolio or concrete projects demonstrating hands-on proficiency.
• An academic background or specialized AI certification is an asset.

Technical and communication skills

• Strong proficiency in French is mandatory; excellent written and spoken communication in French and English is required.
• Proficiency in prompt engineering, LLM API integration, RAG, response-quality and safety evaluation, Python, and C#.
• Experience with Python-based JSON, YAML, and CSV manipulation; knowledge of relational databases and SQL; solid knowledge of Git or similar tools.
• The role calls for user-focused automation, analytical problem solving, autonomy, resourcefulness, creativity, and rapid learning.
• Security and data-governance awareness in a fintech or institutional context is required.
• Agentic architectures, multi-agent workflows, function calling, and protocols such as MCP are assets; wealth-management experience is also an asset.

Work arrangement

• Hybrid work is offered from the Laval or Montreal offices.

Benefits

• Benefits include annual salary, corporate profit-sharing, flexible vacation, insurance, telemedicine, group RRSP, training, and a sports program.
• Office amenities include a gym at the Laval head office, parking and electric-car charging, breakfast, and regular social events.