Senior Backend Engineer, AI Systems jobs in United States
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Jellyfish · 3 weeks ago

Senior Backend Engineer, AI Systems

Jellyfish is focused on enhancing engineering team efficiency through AI integration, and they are seeking a Senior Backend Engineer, AI Systems to develop tools for classifying work within issue tracking systems. The role involves handling complex data at scale, designing systems for efficient classification and aggregation, and building data pipelines while applying large language models responsibly.

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Responsibilities

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

Qualification

PythonData modelingLarge Language ModelsAWSFrontend frameworksCuriosityCommunicationTeam player

Required

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
Strong backend engineering skills, experience with complex data modeling, and curiosity about building production LLM systems and AI infrastructure are essential
Humility, a performance-driven attitude, and a team-player approach are most important to us
Applicants must be authorized to work for any employer in the US

Preferred

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

Company

Jellyfish

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Jellyfish is an engineering management platform specializing in business alignment, DevOps, and data science services.

Funding

Current Stage
Growth Stage
Total Funding
$114.5M
Key Investors
AccelInsight Partners
2022-02-01Series C· $71M
2021-01-12Series B· $31.5M
2020-05-05Series A· $12M

Leadership Team

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Andrew Lau
Co-Founder & CEO
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Company data provided by crunchbase