Staff AI Engineer (AI)

Location: Illinois, United States of America; remote/hybrid

Salary: $205,000–$307,000 annual base salary, with annual performance bonus and long-term incentives.

Company

hirify.global builds AI-powered cloud software for legal data intelligence, helping law firms, corporations, and government agencies manage complex information for litigation, investigations, regulatory inquiries, and data breach response.

What you will do

• Architect end-to-end AI/ML solutions across the full lifecycle, balancing reliability, scalability, security, cost, and maintainability.
• Build the AI Engineering discipline and elevate AI Engineering practices and standards across the organization.
• Define and lead execution of the AI strategy for Data Breach Response across multiple engineering teams.
• Build, deploy, monitor, and operate production AI/ML systems, pipelines, and evaluation harnesses used by Applied Science.
• Build and operate data pipelines and platforms in partnership with Product, Applied Science, and DevOps.
• Prevent operational issues through system design and automation, create alerting, conduct root cause analysis, and communicate technical risks and decisions.

Requirements

• 10+ years of experience designing, building, and operating cloud-native distributed systems, including 5+ years focused on production AI/ML systems and data platforms at scale.
• Technical leadership across multiple teams or domains, including setting direction and aligning teams on architecture decisions.
• Background in AI/ML architecture, data engineering, and security at scale.
• Fluency with ML frameworks and tooling for deploying, monitoring, and operating models and building infrastructure for Applied Science evaluation.
• Experience translating business goals into technical strategy.
• Experience with AI/ML Engineering, Data Engineering, MLOps, Distributed Systems, Cloud Architecture, Technical Leadership, and Responsible AI or Governance.

Nice to have

• Experience shaping data platforms, evaluation infrastructure, or AI governance standards.
• Track record of driving organization-wide AI/ML engineering improvements in regulated or large-scale environments.

Culture & Benefits

• Work on distributed, cloud-native systems processing large volumes of data for high-stakes legal matters.
• Own systems end-to-end across cloud and distributed environments.
• Collaborative culture focused on knowledge sharing and continuous improvement.
• Inclusive environment with diverse perspectives.
• Competitive salary, benefits, DTO, parental leave, equity program, annual performance bonus, and long-term incentives.