Senior Backend Software Engineer (Project Neo)

Artificial intelligence will define the financial services sector within the next five years, but incumbent institutions cannot adopt artificial intelligence due to two core problems: access to quality training data, and access to high - caliber talent. Neo is building the only full-stack artificial intelligence platform focused on the financial services industry. With a first client already in place, Neo is ready to redefine how banks think about AI.
We’re now entering the build phase of our start-up journey and we are looking for a Backend Software Developer. You will be the first backend engineer and will have a critical role in helping to develop overall software engineering infrastructure and best practices for an always-on deployment environment and work within the Neo team to build a SAAS platform product from the ground up.


  • Design and build a high-performance web application based on restful APIs
  • Architect and implement software libraries
  • Develop software devops engineering processes (design, build, quality, maintenance)
  • Note: Responsibilities will grow and evolve based on your interests, capabilities and client needs.

Experience - Required Skills

  • 5+ years experience with Python web server frameworks (Django or Flask)
  • Demonstrable experience of developing professional software from concept to distribution
  • Strong knowledge and experience of developing with cloud  services (AWS, GCP, or Azure)
  • Experience with Git version control
  • Passion for engineering products, technology and AI

Experience - Preferred Skills

  • Bachelor’s degree in Computer Science, Engineering, or related technical field
  • Experience with JavaScript
  • Experience with Docker
  • Experience with SQL and NoSQL databases and data modeling
  • Experience with AI tools, libraries, and languages (TensorFlow, PyTorch, Spark, SageMaker, Scikit-learn, NLP, spaCy, etc)
  • Good understanding of how to leverage available cloud base services and existing machine learning platforms such as AWS SageMaker using Tensorflow or Google AutoML to avoid reinventing the wheel.
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