обновлено 2 дня назад
Senior Software Engineer (AI)
126 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Design, build, and operate AI-driven, cloud-native systems that process large volumes of data for high-stakes legal workflows with an accent on distributed architecture, scalability, security, and reliability. Focus on building multi-tenant systems, optimizing performance, strengthening observability and automated testing, and leading engineering quality through design reviews, code reviews, and mentorship.
Location: Illinois, United States; remote/hybrid
Salary: $126,000–$190,000 per year, plus an annual performance bonus and long-term incentives.
Company
builds AI-powered legal data intelligence software for litigation, investigations, regulatory inquiries, and other high-stakes legal workflows.
What you will do
- Design, build, and operate AI-driven, scalable, high-performance systems that process large volumes of data.
- Develop secure, cloud-native solutions for legal and regulatory workflows.
- Deliver complex solutions end to end and own them in production.
- Work with distributed, multi-tenant systems and address performance and scalability trade-offs.
- Raise engineering quality through design discussions, code reviews, and mentorship.
- Collaborate across functions on tools and workflows that support high-stakes legal work.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of software engineering experience focused on cloud-native or distributed systems.
- Strong understanding of modern software design principles and cloud-native architectures.
- Experience with distributed multi-tenant systems and production ownership.
- Solid understanding of CI/CD pipelines, automated testing, observability, and incident response.
- Strong cross-functional communication and collaboration skills.
Nice to have
- Experience building full-stack systems at scale with React and .NET.
- Experience with performance tuning, scalability trade-offs, and secure-by-default design.
- Experience in high-scale or regulated environments.
- Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code.
Culture & Benefits
- Continuous delivery, strong observability, and end-to-end engineering ownership.
- Exposure across the stack, from distributed systems to AI-enabled workflows.
- Health and retirement programs, wellness resources, and discretionary time off.
- Parental leave, two annual company breaks, a home office stipend, and an equity program.
- Volunteer opportunities and company-sponsored charitable programs.
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