TL;DR
Principal Software Engineer (AI, Data): Designing and building distributed data systems and APIs to power adaptive, context-aware experiences across hirify.global with an accent on personalization, privacy, and scale. Focus on architecting solutions for Copilot's intelligence, optimizing for performance and reliability, and ensuring user-controlled personalization in a fast-paced product development environment.
Location: New York, United States. Must live within a 50-mile commute of a designated Microsoft office in the U.S. and work from the office at least four days per week.
Salary: USD $220,800 – $331,200 per year.
Company
hirify.global aims to build 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 languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
- Location: Must live within a 50-mile commute of a designated Microsoft office in the U.S.
- English: B2 required.
Nice to have
- 4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud platforms like Azure, AWS, or GCP.
- 3+ years’ experience in OSS data technology, such as Kafka, Spark, or Flink.
- Experience with large-scale data systems.
- Experience working with AI platforms, frameworks, and APIs.
- Experience using, deploying, and scaling language learning models.
Culture & Benefits
- Work with a growth mindset, innovating to empower others, and collaborating to realize shared goals.
- Embody values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.
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