Senior Principal Software Engineer (AI Governance)

TL;DR

Senior Principal Software Engineer (AI Governance): Leading the design, scalability, and reliability of hirify.global’s AI Governance platform, enabling enterprises to deploy and govern AI and LLM-powered applications responsibly with an accent on secure, compliant, and observable platform capabilities. Focus on translating customer AI use cases and governance needs into scalable solutions and driving alignment across teams on platform design and priorities.

Location: Encouraging three days a week in office for most roles. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.

Salary: $165,000—$220,000 USD

Company

hirify.global’s mission is to enable innovation through the responsible use of data and AI.

What you will do

• Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for hirify.global’s AI Governance product.
• Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
• Build features with RAG, agent workflows, and model orchestration.
• Own technical design for critical systems, ensuring scalability, security, and reliability.
• Maintain strong automated unit/integration test coverage and engineering standards.
• Improve system monitoring, resilience, and operational maturity.

Requirements

• Bachelor's or master's degree in computer science, Engineering, or related technical or business field.
• 12+ years of professional software engineering/development experience
• Strong expertise in Java/J2EE, Spring, design patterns, microservices architecture, and cloud-native distributed systems
• Proven experience building production-grade agentic AI systems with robust tool-use, guardrails, and observability for enterprise-scale workloads.
• Solid understanding of RAG pipelines, agent workflows, model orchestration, and evaluation practices.
• Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS)

Nice to have

• Experience with different databases (Relational and document) is a strong asset.
• Familiarity with continuous integration and continuous deployment (CI/CD) tools.
• Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.
• Background in enterprise, regulated, or security-focused environments.

Culture & Benefits

• Comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave.
• Career development opportunities, company-paid privacy certification exam fees, and much more.
• Be part of the OneTeam.
• Meaningful opportunities to collaborate and celebrate in person.