обновлено 20 часов назад
Software Engineer (AI)
79 000 - 119 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building and operating backend services for Relativity’s generative AI platform with an accent on distributed systems, cloud infrastructure, and scalable AI traffic management. Focus on designing multi-region, multi-cloud services, asynchronous job orchestration, distributed processing, and reliability at high throughput.
Location: Illinois, United States; hybrid/remote
Salary: $79,000–$119,000 annually, plus annual performance bonus and long-term incentives
Company
builds One, an AI-powered cloud platform for legal data intelligence used in litigation, investigations, regulatory inquiries, and other high-stakes legal work.
What you will do
- Design, build, and operate performant, scalable, and secure backend services for the aiR generative AI platform.
- Develop high-throughput systems for AI workloads, including asynchronous job orchestration and distributed processing.
- Build multi-region, multi-cloud services that route and manage AI traffic across regions and providers.
- Collaborate with software engineers to deliver reliable systems operating at massive scale.
- Write unit and integration tests, apply static analysis, and improve testing strategies.
- Improve engineering tools, workflows, and practices through process enhancements and pair programming.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- Experience building backend services with C#, Python, or similar languages.
- Understanding of software engineering disciplines and the ability to work across multiple application layers.
- Strong foundational knowledge of distributed systems, scalability, and backend service design.
- Experience with automation, engineering design, problem solving, quality assurance, system integration, troubleshooting, and process improvement.
Nice to have
- Understanding of DevOps principles and experience with GitHub Actions.
- Experience with LLM APIs, generative AI systems, Azure, or other cloud platforms.
- Experience with Kubernetes, serverless technologies, and cloud-native architectures.
- Familiarity with domain-driven design, event-driven architecture, and AI-assisted coding tools.
Culture & Benefits
- Work on foundational AI platform systems and high-throughput distributed services.
- Collaborative environment focused on engineering fundamentals, shared ownership, and continuous learning.
- Health and retirement programs, wellness resources, and discretionary time off.
- Parental leave, company-wide breaks, home office stipend, and equity program.
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