About the company :
- Company Size :
- 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 team2+ years of the experience should be working with a team on projects that involve ML projectsExperience 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 environmentsCompensation is salary range + meaningful equity in an early stage venture backed startup commensurate with level of experience.
$150,000 - $180,000 a year
Compensation is salary range + meaningful equity in an early stage venture backed startup commensurate with level of experience.
PI0b34aaebe55a-30511-36634333