Jellyfish's Engineering team is looking to build the infrastructure that powers AI agents for engineering leaders, transforming their platform from traditional SaaS to Native AI SaaS
Requirements
- Strong skills in Python, and passion for building production software systems using Django
- Experience working with Large Language Models and an understanding of how to manage context
- Experience working with non-traditional data platforms such as column stores
- Experience designing APIs for consumption by LLMs
- Fluency with tools such as Copilot, Cursor, Claude Code, Kiro and a track record of using them to build and ship fast
- Experience with AI/ML systems is a plus
- Strong system design skills
Responsibilities
- Design, plan and implement key features as part of a highly effective agile 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
- 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
- Design data pipelines, build integration layers, optimize for AI inference patterns, and solve novel infrastructure challenges
Other
- 10+ years of experience building SaaS products with a focus on Back End development
- Occasional travel may be required
- Applicants must be authorized to work for any employer in the US
- We are unable to sponsor or take over sponsorship of an employment visa at this time
- Humility, a performance-driven attitude, and a team-player approach are most important to us
