Seed Stage, AI Automation Fintech, Backend Engineer/MLops
Montreal
High-growth Tech Startup – Engineering /
Full Time /
Hybrid
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. 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.
What we are looking for:
- 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.
Why join us:
- 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 Bring:
- 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
$150,000 - $180,000 a year
Compensation is salary range + meaningful equity in an early stage venture backed startup commensurate with level of experience.
