Software Engineer

Relativity is a leading legal data intelligence company that builds technology to help users organize data and discover the truth. They are seeking a Software Engineer to build and operate backend services that power their generative AI platform, focusing on delivering reliable, scalable systems for AI-powered workflows.

Responsibilities

• Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
• Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
• Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
• Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
• Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
• Participate in pair programming to improve software quality and share design and implementation knowledge
• Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

Skills

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience
• 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
• Strong foundational knowledge of distributed systems, scalability, and backend service design
• Automation
• Documentations
• Engineering Design
• Problem Solving
• Process Improvements
• Project Management
• Quality Assurance (QA)
• Research and Development
• System Integration
• Troubleshooting
• Understanding of DevOps principles and experience with tools such as GitHub Actions
• Experience working with large language model (LLM) APIs or generative AI systems
• Experience designing and building scalable systems in Azure or other cloud platforms
• Experience with Kubernetes, serverless technologies, and cloud-native architectures
• Familiarity with domain-driven design and event-driven architecture
• Experience with AI-driven development practices or AI-assisted coding tools
• Awareness of emerging technology trends and their practical application in engineering

Benefits

• Competitive salary
• Health and retirement programs
• Wellness resources
• Discretionary time off (DTO)
• Parental leave for primary and secondary caregivers
• Company-wide breaks
• Home office stipend
• An equity program
• Annual performance bonus
• Long-term incentives

Company Overview

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