Staff AI Engineer

Location: Illinois, United States; hybrid/remote

Salary: $205,000–$307,000 annually, plus annual performance bonus and long-term incentives.

Company

hirify.global builds AI-powered cloud software for organizing, discovering, and managing complex data in high-stakes legal matters.

What you will do

• Define and communicate the multi-year technical roadmap for the machine learning platform and MLOps capabilities.
• Design scalable, extensible, performant, and reliable training, inference, and monitoring systems.
• Provide technical direction and mentorship across multiple engineering and data science teams.
• Partner with product, program, and data science leaders to deliver cross-functional roadmaps.
• Evaluate MLOps technologies and establish engineering standards, architecture practices, and best practices.
• Improve performance and cost efficiency through sparsity, quantization, pruning, and other optimization techniques while maintaining secure and responsible AI practices.

Requirements

• 8+ years of professional software engineering experience, including 5+ years in ML/AI or big data environments.
• 4+ years of technical leadership experience across multiple teams, including mentoring senior and lead engineers.
• Expert-level proficiency in Python, Java, or Scala for production systems.
• Hands-on experience with Docker, Kubernetes/Helm, and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience building ML CI/CD pipelines with tools such as Prefect or Airflow and operating secure, monitored services on AWS, Azure, or GCP.
• Ability to influence technical strategy and lead cross-team initiatives to completion.

Nice to have

• Master’s or PhD in computer science, engineering, mathematics, or a related field.
• Open-source contributions, conference presentations, or technical publications.
• Experience scaling ML platforms with distributed data technologies such as Spark or Kafka.
• Production experience with model compression, pruning, and quantization.

Culture & Benefits

• Work on distributed, cloud-native systems processing large volumes of data.
• Build AI and legal technology that supports investigations, litigation, and regulatory work.
• Own systems end to end across cloud and distributed environments.
• Collaborate in an environment focused on knowledge sharing, continuous improvement, and inclusive teamwork.
• Benefits include DTO, parental leave, equity, and competitive compensation.