Principal Software Engineer, Data Products (AI/ML)

Location: Remote within the United States; this role cannot be based in Delaware, Nevada, Ohio, Oregon, Hawaii, New Mexico, or West Virginia.

Salary: $212,000–$287,000 annual base pay, with a typical midpoint of $250,000. Total compensation also includes equity and benefits.

Company

hirify.global provides logistics technology and infrastructure that connects merchants with carriers through a unified API and dashboard.

What you will do

• Set engineering standards for design reviews, code reviews, testing, observability, and operational readiness across the Data organization.
• Design and build interfaces between application services, machine learning systems, and data platforms.
• Write technical RFCs, lead architecture reviews, and guide cross-team technical direction and multi-quarter roadmaps.
• Turn analytical and data engineering prototypes into secure, maintainable, high-performance production systems.
• Advise on the ML lifecycle from experimentation and validation through deployment, monitoring, and retraining.
• Build, evaluate, harden, and operate agentic AI workflows against real customer traffic.

Requirements

• 10+ years of software engineering experience with ownership of large-scale production systems.
• Principal-level individual contributor experience, including setting technical direction, writing RFCs, leading design reviews, and delivering roadmaps without direct authority.
• Deep experience with distributed, data-intensive production systems and decisions involving latency, throughput, availability, and cost.
• Deep Kubernetes expertise, including containerized services, autoscaling, resource constraints, resilience patterns, and ML workload deployment standards.
• Experience partnering with data scientists and data engineers to productionize analytical or prototype work.
• Demonstrated adoption of technical standards and tooling, along with mentoring and development of other engineers.

Nice to have

• Understanding of effective ML development workflows.
• Experience building customer-facing agentic AI solutions with evaluation harnesses, guardrails, and observability.
• Hands-on Databricks experience, particularly with ML tooling.
• Experience with feature store patterns and online-offline consistency.

Culture & Benefits

• Remote-first, globally distributed working environment with flexible working hours.
• Medical, dental, and vision coverage with 90% of premiums covered by the company, including dependents; pet coverage is also available.
• Take-as-much-as-needed vacation, a company-wide winter slowdown week, and three Volunteer Days Off.
• Work-from-home stipend, charity donation matching up to $100, and individual learning and professional growth support.
• Regular team and company off-sites and local gatherings through the hirify.globals Everywhere program.

Hiring process

• Reasonable accommodations are available during the application and recruiting process.
• Employment contracts outside the United States and Ireland are powered by Remote.com.