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Croesus

AI Product and Automation Tool Developer

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

Apply About employer

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Original job description

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’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.

Position

As part of the Product Ops team, you will be the driving force behind our internal technological ecosystem. 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.

Your Three Core Pillars of Action

Create Value Through Code: You write code, design prompts, orchestrate agents, and build integrations with our internal tool ecosystem.
Standardize and Converge: You identify gaps between teams, repetitive manual practices, and convergence opportunities to transform them into tools, templates, and workflows that become the new way of doing things.
Place Humans at the Center: You work side-by-side with internal users to understand their friction points, co-build solutions, and support them in developing their skills.

Main Responsibilities

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.
Iterate rapidly with internal users to move from prototype to adopted tool.

Scalability of Internal Datasets

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.
Utilize the developed tools to generate datasets tailored to internal needs.

Standardize Product Practices and Tools

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).
Ensure security and compliance across all deployed tools.

Catalyze Adoption

Collaborate with Product Managers, Product Owners, Business Analysts, Technical Writers, and UX Designers to observe their work and identify potential efficiency gains.
Lead demonstration sessions, gather constructive feedback, and adjust tools accordingly.
Actively contribute to the organization's AI culture - not through presentation slides, but through functional, working tools.
Any other related task aimed at optimizing the product ecosystem.

Requirements

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

We're looking for a "problem solver" above all else. Years of experience matter little - your ability to understand a problem, break it down, and deliver a solution that concretely works is what's most valuable.

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.

Skills We're Looking For

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. where it's just hype).
Soft skills: sharp analytical mind, strong autonomy, resourcefulness, creativity, and a strong capacity for rapid learning within a multidisciplinary team.
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

Experience with agentic architectures and emerging protocols: designing complex multi-agent workflows, proficiency in function calling and modern integration protocols (e.g., MCP).
Prior knowledge or experience in the financial / wealth management sector.

Why join Croesus ?

À la carte vacations
Annual salary + Corporate profit-sharing plan
Hybrid work (Laval or Montreal offices)
Proximity to Montmorency and McGill metro
Sports program
Gym available at our Laval head office
Telemedicine + group insurance (super useful for the family 😉 )
Group RRSP
Ongoing training and development plan
Referral bonus
Indoor and outdoor parking & electric car charging stations
Croesus boutique
Beautifully renovated and spacious office
Complimentary breakfast every morning
Happy hours, prepared by our Croesus Life Partner (2x a month)

Are you interested in this challenge? Do you believe you have the qualities and expertise required for this position? Please complete your application today.

Although all applications are carefully analyzed, we will communicate only with those selected. Thank you for your interest in Croesus.

Are you interested in this challenge? Do you believe you have the qualities and expertise required for this position? Please complete your application today.

Although all applications are carefully analyzed, we will communicate only with those selected. Thank you for your interest in Croesus.

Apply About employer

More about this job

Responsibilities

Build and maintain AI agents, automations, integrations, and realistic test-data tooling for the Product team, including frameworks to evaluate quality, reliability, and security. Standardize and document internal tools and practices, measure their impact, and work with users to refine solutions and encourage adoption.

Requirements

Requires a bachelor's degree in computer science, software engineering, or a related field, or equivalent experience, along with 5+ years of software development experience and 1–4 years building AI tools. Candidates should demonstrate hands-on AI development skills, proficiency in Python and C#, LLM integration and evaluation, SQL, and strong French and English communication; financial-sector experience and agentic architecture expertise are assets.

Skills

Python
C#
Prompt Engineering
LLM API Integration
Retrieval-Augmented Generation
AI Agent Development
Agentic Architectures
Function Calling
Model Context Protocol
SQL
Relational Databases
Test Data Generation
Git
Security and Data Governance
French and English Communication
Software Testing

Benefits

Flexible Vacation
Corporate Profit-Sharing Plan
Hybrid Work
Sports Program
On-Site Gym
Telemedicine
Group Insurance
Group RRSP
Ongoing Training and Development
Referral Bonus
Indoor and Outdoor Parking
Electric Vehicle Charging Stations
Complimentary Breakfast
Employee Social Events

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Agents
Automation
Product Operations
Python
C#
Large Language Models
Prompt Engineering
LLM APIs
Retrieval-Augmented Generation
Agentic Architectures
Multi-Agent Workflows
Function Calling
Model Context Protocol
JSON
YAML
CSV
SQL
Relational Databases
Git
Test Data Management
Mock Data
Software Testing
Evaluation Frameworks
Security
Data Governance
Wealth Management
Fintech
Product Management
French

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