Jellyfish's Engineering team is building our Native AI future. We're looking for a senior backend engineer who wants to build the infrastructure that powers AI agents for engineering leaders.
You'll join the team transforming our platform from traditional SaaS to Native AI SaaS. Your job is to build the backend systems that let our agentic chat access data across the entire Jellyfish platform, process it at scale, and deliver expert insights to engineering leaders. This means integrating with every part of our product, designing APIs for AI agents, and building infrastructure that can handle the unique demands of generative AI workloads.
This role demands someone who can work at the intersection of backend engineering and AI systems. You'll design data pipelines, build integration layers, optimize for AI inference patterns, and solve novel infrastructure challenges. You need to be comfortable with exploration and experimentation while shipping production systems that customers rely on.
The best candidates are senior backend engineers with strong system design skills who are excited about generative AI and want to build the technical foundation for AI-powered products. Experience with AI/ML systems is a plus, but curiosity and technical depth matter more.
Let's talk about what you'll do:
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
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
Let's talk about what you need to excel:
10+ years of experience building SaaS products with a focus on Back End development
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.
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 enjoy collaborative work
A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.
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.
Let’s talk about us!
This is all about you, but you want to know a little about us. Jellyfish enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.
