Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI): Leading the design and development of distributed data infrastructure and personalization pipelines powering Copilot’s intelligence with an accent on building scalable, low-latency systems. Focus on optimizing performance, reliability, and cost across diverse workloads and geographies.

Location: Expected to work from the office at least four days per week if living within a 50-mile commute of a designated hirify.global office in the U.S.

Salary: USD $139,900 – $274,800 per year. The base pay range for this role in San Francisco Bay area and New York City metropolitan area is USD $188,000 – $304,200 per year.

Company

hirify.global's mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.
• Build real-time and batch personalization engines that adapt Copilot’s behavior.
• Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled.
• Optimize for performance, reliability, and cost across diverse workloads and geographies.
• Ship high-quality, well-tested, secure, and maintainable code.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 6+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.