About the company:

• Company Size: < 10 People
• Approx. Funding: ~ $5M
• Company Stage: Seed
• Industry: AI/ML, Fintech
• Founding Year: 2024
• Tech Stack: Python, Django, FastAPI, OpenAI API, AWS (Lambda, EC2), Docker, PostgreSQL, Redis, REST, GraphQL

AI-driven fintech startup in Montreal, founded in 2024 by Forbes 30 Under 30 alumni. With nearly $5M raised from top investors and an impressive roster of early customers, this company is set to transform financial negotiations using cutting-edge AI technology. Join a small but impactful team where your contributions will shape the future of intelligent financial solutions.

We’re seeking an experienced MLOps/Backend Engineer to:

• Build, deploy, and maintain platform services for AI-powered SaaS products that address complex customer needs.
• Work closely with the founding team to develop core services and integrate ML models into the product.
• Collaborate with ML teams to deploy custom-trained or off-the-shelf LLM models, such as those from OpenAI.
• Design and implement scalable backend solutions using Python frameworks like Django, Flask, or FastAPI.
• Manage relational and non-relational databases, including PostgreSQL, MySQL, and Redis.
• Optimize and maintain deployment pipelines, leveraging tools like Docker and Kubernetes.
• Contribute to a high-performance engineering culture that values innovation and collaboration.

What you'll get:

• Competitive Salary with significant equity in a rapidly growing early-stage company backed by top investors.
• The chance to work on a platform using transformative AI technology making a direct impact on the financial industry.
• Professional development opportunities and exposure to cutting-edge practices.
• Unprecedented career progression opportunities in a fast-paced startup environment.

What You'll Need:

• 5+ years of backend or full stack engineering experience, working as a senior/lead member of the team
• 2+ years of the experience should be working with a team on projects that involve ML projects
• Experience deploying and integrating ML models into SaaS products, including off-the-shelf LLMs or custom-trained models.
• Strong expertise in Pythons.
• Proficiency in deploying and managing applications using Docker and related tools.
• A collaborative mindset and experience working in high-growth, fast-paced startup environments