3 дня назад
Advanced Software Engineer - AI Platform
103 000 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Advanced Software Engineer - AI Platform (Python/cloud-native/AI): Building and operating distributed, scalable cloud services and experimentation infrastructure for AI-powered legal data solutions with an accent on APIs, event-driven architecture, data platforms, and reliability. Focus on designing full-stack services and pipelines that process petabytes of data weekly, improving observability and performance, and supporting incident response at scale.
Location: Illinois, United States; hybrid/remote
Salary: $103,000–$155,000 per year, plus annual performance bonus, long-term incentives, and equity program
Company
builds AI-powered cloud software for legal data intelligence, helping law firms, corporations, and government agencies organize information, discover relevant evidence, and support high-stakes legal work.
What you will do
- Design, develop, and operate secure, distributed, scalable full-stack cloud services processing petabytes of data weekly.
- Build performant and accessible user interfaces, backend services, and data pipelines.
- Develop clean, testable, and maintainable code using modern tooling and CI/CD.
- Build tools and infrastructure for the AI Platform’s Experimentation Infrastructure team to accelerate experimentation.
- Collaborate with engineering, product, and design partners on AI-powered legal data solutions.
- Contribute to code reviews, service ownership, observability, on-call rotations, and incident response.
Requirements
- 3+ years of experience designing, building, and operating cloud-native distributed systems.
- Hands-on experience with APIs, event-driven architecture, and data platforms.
- Experience developing cloud-based distributed services.
- Ability to write clean, maintainable, well-tested code using modern tooling and CI/CD.
- Security- and reliability-focused approach with strong cross-functional collaboration skills.
- Experience with technologies such as Python, Docker, Azure, Kubernetes, Databricks, MLflow, GitHub, and GitHub Actions.
Nice to have
- Experience with performance or cost optimization.
- Familiarity with AI development tools such as Cursor or Claude Code.
Culture & Benefits
- Continuous delivery, strong observability, and end-to-end ownership.
- Health and retirement programs, wellness resources, and discretionary time off.
- Parental leave, two annual company breaks, and a home office stipend.
- Volunteer opportunities and company-sponsored charitable programs.
- Career exposure across distributed systems and AI-enabled workflows.
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