AI Application Engineer

$133K — $204K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS in Computer Science, Software Engineering, AI/ML, or a related field.
  • 3+ years of experience in AI/ML engineering and microservice/API development.
  • Proven experience in deploying agentic AI/ML models into production with SLA adherence.
  • Strong experience with cloud platforms, preferably GCP, and tools like Docker and Kubernetes.
  • Experience in agile development environments delivering incremental enhancements.
  • Deep understanding of APIs and system architecture in enterprise-scale settings.
  • Hands-on experience with GenAI application development.

Responsibilities

  • Design and implement scalable AI/ML solutions based on internal customer needs.
  • Own AI/ML system lifecycle from design through deployment and improvement.
  • Build and maintain software services for AI agents/integrate into KION’s data ecosystem.
  • Write clean, maintainable code adhering to industry best practices.
  • Develop and enforce software architecture and coding standards.
  • Collaborate with engineers to establish AI/ML development environments for efficient model training.
  • Build and maintain CI/CD workflows for AI/ML applications.

Benefits

  • Career Development
  • Competitive Compensation and Benefits
  • Pay Transparency
  • Global Opportunities
Full Job Description
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

Learn More Here:https://www.dematic.com/en-us/about/careers/what-we-offer

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:

What You Will do in This Role:

  • 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).

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