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Eulerity

Associate Backend Engineer

New York, New York$95k–$115kfull-timeentryAdded today

About this role

Eulerity is seeking an Associate Backend Engineer with 1–3 years of experience to build and maintain backend services for their marketing automation platform. You'll work with AI-assisted development tools as a core part of your workflow and own features end-to-end from design through deployment.

What you'll do

  • Build, test, and maintain backend services for Eulerity's core platform
  • Own features end-to-end from design and implementation through deployment
  • Use AI agents and LLM tooling to prototype, iterate, and ship faster
  • Collaborate with cross-functional teams on features and releases
  • Contribute product ideas and help shape the engineering roadmap
  • Support documentation and knowledge sharing across the team

What they're looking for

  • Backend development with 1+ year of Java experience
  • AI agents and LLM tooling (Claude, Copilot, Cursor)
  • Third-party API integration
  • AI-assisted development workflows
  • Problem-solving and creative thinking
  • Cross-functional collaboration
  • Software testing and deployment practices
  • Documentation and knowledge sharing

Benefits

  • Competitive salary ($95,000–$115,000) commensurate with experience
  • GitHub Copilot access and frontier LLMs from Anthropic, Google, and OpenAI
  • Mentorship and regular peer review sessions
  • Comprehensive medical, dental, and vision coverage
  • Unlimited PTO and Summer Fridays
  • 401(k) with company match, commuter benefits, unlimited snacks, and in-office lunch credit
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Eulerity

Eulerity builds an AI-native marketing automation platform that helps enterprise and franchise clients streamline multi-location marketing operations through APIs, SDKs, and integrated workflows. The company is hiring across web development, iOS engineering, solutions engineering, and forward-deployed roles to expand its platform capabilities and customer success.

View all jobs at Eulerity

Likely interview questions

  • Tell us about a project where you used AI agents or LLMs to build, debug, or ship software—what tools did you use and what was the outcome?
  • Describe a backend feature you owned end-to-end. What was your process from design through deployment?