Jellyfish is looking for a Senior Backend Engineer, AI Systems to build tools that classify engineering work into meaningful categories for leaders. This role focuses on handling complex data at scale across multiple issue tracking systems, designing efficient classification systems, building data pipelines, and applying Large Language Models.

What You'll Do

Design, plan, and implement key features as part of a highly effective development team.
Rapidly deliver value for customers by pushing features to AWS-hosted SaaS environment daily via automated CI/CD pipelines.
Provide technical and product expertise within your team and across the organization.
Think big about representing 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.

What We're Looking For

10+ years of experience building SaaS products.
Strong skills in Python and passion for building production software systems.
Strong skills in data modeling in relational database 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.
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.
Humility, a performance-driven attitude, and a team-player approach.
Applicants must be authorized to work for any employer in the US.

Nice to Have

Enough experience with frontend frameworks, such as React, to be able to pitch in from time to time.
Experience with and interest in other database technologies such as columnar systems.
Have worked in or interested in a growth-stage startup.