Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI): Leading the design and development of distributed data infrastructure, APIs, and personalization pipelines that drive Copilot’s intelligence for hirify.global, with an accent on building intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. Focus on architecting scalable, low-latency systems, designing data models, and optimizing for performance, reliability, and cost across diverse workloads and geographies.

Location: Hybrid in New York, United States (expected to work from office at least four days per week if within 50-mile commute of a designated Microsoft office in the U.S.)

Salary: $220,800–$331,200 USD per year (New York City)

Company

hirify.global is redefining the future of AI by building intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure.

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 quickly and iteratively.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
• Proficiency in backend technologies.
• Familiarity with applied AI and its unique challenges.
• Ability to architect solutions that stand the test of time.
• Hands-on experience building world-class consumer experiences and products.
• Judgment to make the right risk vs velocity and value decisions.

Nice to have

• 4+ years’ experience building scalable services, including securing applications and infrastructure on cloud (Azure, AWS, or GCP).
• 3+ years’ experience in OSS data technology, such as Kafka, Spark, Flink.
• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.
• Experience using, deploying, and scaling Machine Learning frameworks and language learning models.

Culture & Benefits

• Growth mindset, innovation, and collaboration.
• Values of respect, integrity, and accountability to create a culture of inclusion.
• Expected to work from the office at least four days per week if living within a 50-mile commute of a designated Microsoft office in the U.S.
• Access to comprehensive benefits and other compensation.