Senior Backend Engineer, AI Systems

10+ years of experience building SaaS products Strong skills in Python, and passion for building production software systems Enough experience with frontend frameworks, such as React, to be able to pitch in from time to time to move a project forward or troubleshoot issues Strong skills in data modeling in relational database systems and experience with and interest in other database technologies such as columnar systems Experience working with Large Language Models and Amazon’s Bedrock and Sagemaker environments Fluency with tools such as Copilot, Cursor, Claude Code, Kiro and a track record of using them to build and ship fast Have worked in or interested in a growth-stage startup Curiosity - great at asking questions, figuring out what needs to be done, building consensus, and executing Love learning new things and teaching others what you know Strong communication skills and desire for collaborative work

Design, plan, and implement key features as part of a highly effective development team Rapidly deliver value for our customers by pushing features to our AWS-hosted SaaS environment daily, with automated CI/CD pipelines Provide technical and product expertise within your team and across the organization Think big about what’s possible to represent the scope of engineering work and how it’s changing Communicate effectively about project status and technical issues Participate in your team’s agile process and work to continually improve your team’s capabilities Provide support for production operations of the Jellyfish product Actively participate in a culture supportive of growth and inclusion on your team