Backend Engineer - AI Platform at Scale (Hybrid/Remote)

Relativity

Charleston (SC)

Hybrid

USD 79,000 - 119,000

Full time

14 days+

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Benefits offered by this job

Health and retirement programs
Wellness resources
Discretionary time off
Parental leave
Home office stipend
Equity program

Job summary

Relativity, based in Charleston, SC, seeks a Software Engineer to build and operate backend services that power its generative AI platform, aiR. This role involves working at the intersection of cloud infrastructure and AI, delivering robust and scalable systems essential for AI workflows.

The ideal candidate should have a Computer Science degree, experience with languages like C# and Python, and a strong understanding of distributed systems. The position offers a competitive salary and various benefits in a hybrid work setting.

Qualifications

  • Strong foundational knowledge of distributed systems, scalability, and backend service design.
  • Experience building backend services using languages such as C#, Python, or similar.
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack.

Responsibilities

  • Design and build performant, scalable, and secure backend services.
  • Collaborate with a software development team to deliver high-quality systems.
  • Develop and maintain systems that support high-throughput AI workloads.

Skills

C#
Python
Automation
Problem Solving
Process Improvements

Education

Bachelor’s degree in Computer Science or related field

Tools

GitHub Actions
Kubernetes
Azure

Job description

Relativity, based in Charleston, SC, seeks a Software Engineer to build and operate backend services that power its generative AI platform, aiR. This role involves working at the intersection of cloud infrastructure and AI, delivering robust and scalable systems essential for AI workflows.

The ideal candidate should have a Computer Science degree, experience with languages like C# and Python, and a strong understanding of distributed systems. The position offers a competitive salary and various benefits in a hybrid work setting.

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