Senior Software Development Engineer (AI & Agentic Systems)

About the role

Join our team at Jamf as a Senior Software Development Engineer, focusing on AI and agentic systems. You will be instrumental in developing innovative solutions that enhance our Apple device management and security offerings. This position allows you to work remotely while collaborating with a talented group of professionals dedicated to delivering exceptional results. You will own the architecture and implementation of core AI features that define the next generation of endpoint intelligence. Your work will directly influence how security and management workflows evolve to become more autonomous and intelligent. You will partner with product leaders to translate high-level objectives into robust, scalable technical strategies. This role requires a deep commitment to writing clean, maintainable code that pushes the boundaries of agentic system design. You will be a mentor to other engineers, sharing best practices for building reliable AI-powered solutions.

Key facts

What you'll do

Architect and develop scalable backend services that power AI-driven decision-making and orchestration for device management workflows. Implement advanced machine learning models and integrate them into production-grade systems using Python and modern data pipelines. Design and build agentic frameworks that enable autonomous operations, allowing security workflows to self-execute based on contextual intelligence. Collaborate closely with product managers and security researchers to refine requirements and ensure technical solutions align with strategic goals. Optimize system performance and reliability by applying best practices in distributed computing and infrastructure as code. Lead technical design discussions and create detailed specifications for complex features that span multiple service boundaries. Mentor junior engineers by providing code reviews, technical guidance, and hands-on coaching on AI and agentic development patterns. Partner with cross-functional stakeholders to identify opportunities where AI can reduce manual effort and improve operational efficiency. Drive the implementation of observability and monitoring solutions to ensure the reliability and performance of AI services in production. Contribute to the open-source community and internal technology standards by documenting processes and sharing knowledge across the organization.

Requirements

A minimum of 5 years of professional experience in software development with a demonstrated focus on AI technologies and complex system design. Proficiency in programming languages such as Python, Java, or C++ with a strong ability to write clean, efficient, and well-documented code. Experience with machine learning frameworks and tools, including TensorFlow or PyTorch, and a solid understanding of model training and deployment workflows. A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Demonstrated history of building and maintaining large-scale software systems that handle high concurrency and demanding performance requirements. Strong problem-solving skills with the ability to debug intricate issues in distributed environments and AI-driven applications. Excellent communication skills to collaborate effectively with remote teams and articulate technical concepts to both technical and non-technical audiences. A proven track record of working in Agile environments, delivering incremental value through iterative development and continuous feedback. Eligibility to work in the United States without sponsorship, ensuring compliance with federal, state, and local employment laws.

Nice to have

Familiarity with Apple development environments and tools, including Xcode, Swift, and related ecosystems that intersect with device management. Experience in developing agentic systems or autonomous applications that involve multi-step reasoning and tool integration. Knowledge of security frameworks and compliance standards relevant to enterprise device management and data protection. Exposure to cloud-native architectures and container orchestration platforms such as Kubernetes. Understanding of data privacy regulations and best practices for implementing privacy-preserving machine learning.

Practical notes

Candidates must be eligible to work in the United States. Jamf offers a comprehensive benefits package, including health insurance, retirement plans, and professional development opportunities. Applications will be accepted until the position is filled. Remote work is available for candidates located in the United States. This is a full-time position.