Llm Engineer Remote Jobs in Indiana (NOW HIRING)

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

• 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

WHAT WE'RE LOOKING FOR

Required

• 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

Preferred

• 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

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

• Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

• Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

• Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

• Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

• Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and 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, and an equity program.