Demo

Seed Stage, AI Automation Fintech, Backend Engineer/MLops

StackedSP
San Francisco, CA Full Time
POSTED ON 2/16/2025
AVAILABLE BEFORE 5/2/2025

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 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
  • Compensation 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.

    PI261176237

    Salary : $150,000 - $180,000

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