AI Application Engineer

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

Qualifications

  • BS/MS in Computer Science, Software Engineering, AI/ML, or related field.
  • 3+ years in AI/ML engineering, microservices, or API development.
  • Experience deploying agentic AI/ML models in production with SLAs.
  • Strong skills in cloud platforms, especially GCP, Docker, and Kubernetes.
  • Experience in agile development and delivering customer-driven enhancements.
  • Deep knowledge of APIs, software integration, and enterprise system architecture.
  • Hands-on with GenAI application development and evaluation.

Responsibilities

  • Design and implement scalable AI/ML solutions for internal customers.
  • Manage the entire lifecycle of agentic AI/ML systems from design to improvement.
  • Build and integrate software services for AI agents and ML models within the ecosystem.
  • Write clean, high-quality code that follows industry best practices.
  • Establish best practices for software design, architecture, and security standards.
  • Collaborate with data and cloud engineers to create efficient AI/ML development environments.
  • Develop 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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