AI Product and Automation Tool Developer
Role Overview
As part of Product Ops, the developer designs and operates internal AI and data systems that improve how the Product team designs, delivers, and operates wealth-management solutions.
The role focuses on practical code, agents, automation, test-data management, and tools that improve operational efficiency.
Key Skills for This Role
Full Job Posting
About Croesus
Croesus provides wealth-management solutions, including portfolio management systems, rebalancing tools, and APIs.
The company has more than 200 employees across Montréal, Toronto, and Geneva.
Position
As part of Product Ops, the developer designs and operates internal AI and data systems that improve how the Product team designs, delivers, and operates wealth-management solutions.
The role focuses on practical code, agents, automation, test-data management, and tools that improve operational efficiency.
Core responsibilities
- Build and maintain Product AI agents, skills, automations, integrations, and evaluation frameworks.
- Develop plugin architecture and realistic mock-data source files; generate datasets for internal use.
- Set code-quality, documentation, versioning, deployment, security, and compliance practices for internal tools.
- Track tool inventory, dependencies, adoption, productivity gains, and deliverable quality.
- Partner with Product users to identify problems, demonstrate tools, collect feedback, and encourage adoption.
Requirements
- 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.
- A portfolio or concrete projects demonstrating hands-on proficiency.
- Strong French proficiency is mandatory; excellent written and spoken French and English communication is sought.
- Proficiency in Python and C#, prompt engineering, LLM API integration, RAG, and response-quality and safety evaluation.
- Experience with Python data manipulation and JSON, YAML, and CSV; knowledge of relational databases, SQL, and Git or similar tools.
- Strong analytical ability, autonomy, resourcefulness, creativity, rapid learning, and security and data-governance awareness.
Preferred experience
- AI academic study or specialized certifications are an asset.
- Agentic architectures, multi-agent workflows, function calling, MCP, and financial or wealth-management experience are assets.
Work arrangement
- Hybrid work is offered at the Laval or Montréal offices.
Compensation
- The posting describes an annual salary and corporate profit-sharing plan; no salary amount is stated.
Benefits
- Benefits include flexible vacation, sports programming, gym access at the Laval head office, telemedicine, group insurance, group RRSP, training, referral bonus, parking, electric-car charging, and complimentary breakfast.
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