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At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets. As an AI Systems Engineer, you will play an essential role in designing, integrating, and managing AI driven components within our Core AI Research team. You will ensure AI models, embedded systems, cloud services, and software applications work together smoothly and reliably. This role requires a multidisciplinary mindset, strong systems thinking, and the ability to collaborate across engineering teams to bring intelligent features to life in real world environments.
Job Responsibility:
Design system level frameworks that allow AI models to interact seamlessly with software, hardware, and cloud components
Integrate machine learning models into production systems, ensuring performance, reliability, and maintainability
Oversee the lifecycle of AI features including updates, security, monitoring, and scaling across deployments
Collaborate closely with data scientists, robotics engineers, and software developers to deliver cohesive and efficient AI enabled systems
Evaluate system level risks, dependencies, and performance impacts when introducing new AI capabilities
Document system architecture, integration requirements, and operational processes
Ensure ethical considerations such as transparency and accountability are reflected in system design and implementation
Stay current with emerging technologies, industry trends, and best practices in AI systems engineering
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related technical field
5+ years of experience in systems engineering, AI engineering, or integrating complex technical systems
Proficiency in programming languages such as Python and Java
Strong understanding of machine learning principles, data modeling, and model deployment workflows
Experience with system integration, cloud technologies, and distributed architectures
Background working with tools like Jama, Jira, Doors, Requisite-Pro, Polarion SVN, and ANSYS
Familiarity with security, monitoring, and lifecycle management of AI powered systems
What we offer:
Full Benefits - 90% Medical, ESOP, 401K, Generous PTO