Company Description Croesus provides innovative, high-performance, and secure wealth management solutions that include portfolio management systems, portfolio rebalancing tools, and application programming interfaces (APIs). These solutions empower wealth management professionals to improve their productivity, enhance their client relationships, make informed decisions, and maximize the management of their assets under management. Croesus provides innovative, high-performance, and secure wealth management solutions that include portfolio management systems, portfolio rebalancing tools, and application programming interfaces (APIs).

These solutions empower wealth management professionals to improve their productivity, enhance their client relationships, make informed decisions, and maximize the management of their assets under management. Croesus’s mission is to provide a superior experience to its clients, users, partners, and employees and to positively impact the community. With more than 200 employees in its Montréal, Toronto, and Geneva offices, Croesus has won several industry awards for being a high-quality solution provider and an outstanding employer.

Your mission: design, power, and operate the internal AI layer and data structures that transform how Croesus’ Product team (Product Managers, Product Owners, Business Analysts, Technical Writers, UX Designers) designs, delivers, and operates its wealth management solutions. As a true technology catalyst, you don’t just maintain the status quo. You place intelligent automation, agentic engineering, and advanced test data management at the heart of our processes to eliminate friction, standardize our practices, and multiply the operational efficiency of the Product team.

You don't deliver PowerPoints on AI—you deliver code, agents, and concrete tools.

Build





Product AI Tooling Design, deliver, and maintain AI agents, skills, and automations used by members of the Product team. Build seamless integrations between our existing systems and AI platforms. Establish evaluation frameworks to ensure the quality, reliability, and security of delivered tools.

Maintain and evolve the plugin architecture that allows for the injection of mock data. Design source files that enable the generation of ultra-realistic test data. Ensure code quality (unit testing, maintainability, scalability).

Maintain a clear inventory of internal tools, their use cases, and their dependencies. Establish best practices for the documentation, versioning, and deployment of internal tools. Document architecture, technology choices, and developments.

Build usage and impact reporting (adoption, productivity gains, quality of deliverables). Collaborate with Product Managers, Product Owners, Business Analysts, Technical Writers, and UX Designers to observe their work and identify potential efficiency gains. Actively contribute to the organization's AI culture—not through presentation slides, but through functional, working tools.

The working language is French, all internal meetings (including interviews) at Croesus are conducted in French, so a robust proficiency in French is mandatory.

Academic Background And

Experience ~ Bachelor's degree in computer science, software engineering, or a related field,



or equivalent experience. ~5+ years experience in software development ~1 to 4 years of experience building AI tools. ~ A portfolio or concrete projects demonstrating hands‑on proficiency. ~ Academic background or specialized certifications in artificial intelligence — an asset.

Product mindset: driven by automation («automate everything» mindset) and focused on end-user needs. You think in terms of users, adoption, and measurable impact - not just «cool tech». AI know‑how: demonstrable excellence in building AI tools (professional, personal, or open-source projects).

LLMs in production: proficiency in advanced prompt engineering, language model API integration, RAG architectures, and response quality/safety evaluation frameworks. Back-end: proficiency in Python and C#.

Scripting & Data: experience using Python to manipulate, transform, and generate source files (JSON, YAML, CSV) Databases: knowledge of relational databases and SQL.

Dev tools: solid knowledge of Git or similar versioning tools.

Business understanding: ability to quickly grasp a new business domain and identify where AI creates real added value (vs.

Communication & Bilingualism: excellent written and oral communication skills in both French and English, with a marked ability to simplify and synthesize technical information.

Security: well-developed awareness of security and data governance issues in a fintech/institutional context. Assets À la carte vacations Annual salary + Corporate profit-sharing plan Gym available at our Laval head office Ongoing training and development plan Referral bonus Indoor and outdoor parking & electric car charging stations Beautifully renovated and spacious office Complimentary breakfast every morning

📌 AI Product and Automation Tool Developer (Laval)
🏢 Croesus
📍 Laval