Hybrid Backend Engineer, Systems

Posted 2 days ago

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About the role

  • Backend Engineer developing high-performance backend systems for AI applications. Collaborating with product and data teams to build scalable architectures for diverse use cases.

Responsibilities

  • Build extensible backend systems that support flexible configurations for different customers and content types.
  • Support infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows.
  • Advance tooling that enables fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.
  • Follow best practices for ease of deployment, integration, and testing—both for internal teams and external partners.
  • Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.

Requirements

  • Experience and track record in backend systems or infrastructure engineering.
  • Evidence of impact of your contributions to team and company
  • Software engineering skills in Python, Go, Java, or equivalent.
  • Experience working with scalable APIs, backend systems and data pipelines.
  • Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows).
  • Experience with cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines).
  • Passion to learn, stretch and innovate

Benefits

  • Competitive compensation, comprehensive benefits, and hybrid in-office policy.

Job title

Backend Engineer, Systems

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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