Senior Backend Engineer, AI Systems
Jellyfish
About this role
The Senior Backend Engineer, AI Systems at Jellyfish is responsible for designing and implementing tools that classify work across various issue tracking systems, enabling leaders to improve team focus and productivity. This role requires extensive experience in backend engineering, data modeling, and the application of Large Language Models (LLMs) within production environments. Candidates will work with complex, unstructured data at scale, leveraging technologies like AWS, while also contributing to agile processes and supporting production operations. Strong skills in Python and familiarity with frontend frameworks are essential, along with a collaborative mindset geared toward continuous learning and improvement.
Skills
About Jellyfish
jellyfish.coJellyfish is a software engineering intelligence platform designed to enhance engineering performance and strategic alignment within organizations. By integrating with tools like Jira and GitHub, Jellyfish provides essential insights into engineering metrics, resource allocation, and team performance, helping R&D organizations improve efficiency and deliver better outcomes. The platform enables engineering leaders to make data-driven decisions, streamline processes, and predict project timelines effectively, resulting in improved innovation and reduced operational bottlenecks.
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About Jellyfish
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for Jellyfish.
Salary
$165k – $235k
per year