AI Application Engineer

Artificial Intelligence Engineer

At KION, we are leading the charge in intralogistics and warehouse automation by harnessing the power of AI/ML, optimization algorithms, and cutting-edge tools such as agentic AI and GenAI. Our mission is to develop real-time decision-making engines that optimize labor, equipment, and processes, enabling our business to achieve unparalleled operational efficiency and decision making. We are seeking an Artificial Intelligence (AI) Engineer to design and develop agentic AI applications to solve real world business challenges and bring those innovations to production. This role requires strong engineering skills, architectural and design expertise, hands-on coding capabilities, and a deep understanding of AI/ML fundamentals and domain challenges. As our models integrate with KION's data and software ecosystem, this position requires excellence in software engineering practices and large-scale system integration.

We offer:

• Career Development
• Competitive Compensation and Benefits
• Pay Transparency
• Global Opportunities

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $133,125 - $204,125 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:

• Design and implement scalable, production-grade AI/ML solutions based on AI use case requirements from internal customers.
• Own agentic AI / ML system lifecycle from design to deployment, monitoring, and continuous improvement.
• Build and maintain software services to serve AI agents / ML models and integrate into KION's software data ecosystem.
• Write clean, maintainable, and high-quality code, ensuring alignment to industry best practices.
• Develop and enforce best practices in system design, software architecture, API design and coding standards and security
• Collaborate with data engineers and cloud engineers to establish AI/ML development environments for efficient model training, evaluation, streamline the model deployment process, including dependency and version management, and utilize cloud platforms (GCP preferred) when possible.
• Collaborate with business and IT to develop GenAI based applications, supporting RAG, multi-agent, multimodal systems leveraging modern frameworks.
• Build and maintain robust CI/CD workflows for AI/ML applications.
• Partner with AI enablement teams across the organization as well as KION IT Cloud Infrastructure, AI Platform, and security and data privacy teams to ensure AI/ML capabilities align with IT framework and guidelines within KION.

What We are Looking for:

• BS/MS in Computer Science, Software Engineering, AI/ML, or a related field.
• 3+ years of experience in AI / ML engineering, micro service and API development, or related fields.
• Proven experience deploying and supporting agentic AI / ML models into production systems with SLA.
• Strong experience with cloud platforms (preferably GCP) and related tools: Docker, Kubernetes, edge computing.
• Experience working in agile development environments, delivering incremental enhancements that drive customer value.
• Deep understanding of APIs, software integration, and system architecture in enterprise-scale environments.
• Hands-on experience with GenAI application development and performance evaluation.
• Working knowledge of common AI/ML algorithms, and LLMs (Large Language Models)
• Proficiency in Python (preferred) or other general-purpose programming languages.
• Familiarity with orchestration tools: LangGraph, Airflow, Kubeflow, etc.
• Strong DevOps and CI/CD tools
• Proficiency in cloud-based architecture and experience with infrastructure automation (Terraform, Kubernetes).