AI/ML Software Engineer

Location: Hybrid in Ft. Collins, Colorado, United States of America; work from an HPE office an average of 2 days per week.

Annual base salary: USD 116,000–220,000 in Colorado, United States of America. Variable incentives may also be offered.

Company

hirify.global is a global edge-to-cloud company building infrastructure, data, analytics, and AI solutions for organizations.

What you will do

• Design and build AI/ML capabilities for anomaly detection, root cause analysis, forecasting, automation, and operational intelligence.
• Develop production-quality software and services using Go, Python, React, and related technologies.
• Build and integrate machine learning models, LLM-powered workflows, agentic systems, and advanced analytics.
• Manage the full solution lifecycle, including data engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
• Collaborate with software engineers, architects, product managers, and customers to solve complex operational challenges at scale.
• Drive technical innovation for AI-powered operations in large-scale computing environments.

Requirements

• Strong software engineering fundamentals and experience building production systems.
• Familiarity with Go, Python, and React, or the ability to quickly become productive in similar technologies.
• Experience building large-scale distributed systems, observability platforms, infrastructure software, or operational tooling.
• Experience applying AI/ML, GenAI, LLMs, analytics, or intelligent automation to real-world products.
• Strong problem-solving skills and ownership of complex technical challenges.
• Excellent communication and collaboration skills.

Nice to have

• Experience with high-performance computing, supercomputing, or AI infrastructure.
• Experience with observability, telemetry, monitoring, performance analysis, or operational analytics.

Culture & Benefits

• Health, financial, and emotional wellbeing benefits for employees and their families.
• Personal and professional development programs supporting career growth and movement across divisions.
• Inclusive workplace that values varied backgrounds and individual uniqueness.
• Flexibility to manage work and personal needs.