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Application Engineer Machine Tools Jobs in Georgia

AI Application Engineer

Atlanta, GA · On-site

$133K - $204K/yr

... edge tools such as agentic AI and GenAI. Our mission is to develop real-time decision-making ... We are seeking an Artificial Intelligence (AI) Engineer to design and develop agentic AI ...

AI Application Engineer

Atlanta, GA · On-site

$133K - $204K/yr

... edge tools such as agentic AI and GenAI. Our mission is to develop real-time decision-making ... We are seeking an Artificial Intelligence (AI) Engineer to design and develop agentic AI ...

... of experience in application engineering. * Experience with project and product delivery ... Develops software and tools in support of design, infrastructure, and technology platforms. Major ...

... of experience in application engineering. * Experience with project and product delivery ... Develops software and tools in support of design, infrastructure, and technology platforms. Major ...

Machinist

Cordele, GA · On-site

$18.50 - $25.25/hr

... machine tools to produce precision metal parts and components according to engineering specifications. They work with a variety of tools and equipment, such as lathes, milling machines, grinders, and ...

Machinist

Cordele, GA · On-site

$18.50 - $25.25/hr

... machine tools to produce precision metal parts and components according to engineering specifications. They work with a variety of tools and equipment, such as lathes, milling machines, grinders, and ...

ABOUT THIS POSITION We're looking for a 3-Semester Application Engineer Co-Op who wants to help ... Development Tools: Atlassian Suite (JIRA, Confluence, Bamboo) As a Waystar engineer, its likely you ...

CNC Machinist

Cordele, GA · On-site

$17.50 - $24/hr

... machine tools such as lathes, mills, grinders, and drills. Experience with both conventional and computer-controlled machining is valuable. • Experience reading and interpreting engineering ...

CNC Machinist

Cordele, GA · On-site

$17.50 - $24/hr

... CNC machine tools such as lathes, mills, grinders, and drills. Experience with both conventional and computer-controlled machining is valuable. · Experience reading and interpreting engineering ...

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Application Engineer Machine Tools information

What are the key skills and qualifications needed to thrive as an Application Engineer in Machine Tools, and why are they important?

To excel as an Application Engineer in Machine Tools, you need a solid background in mechanical or manufacturing engineering, strong problem-solving abilities, and experience with CNC programming and machining processes. Familiarity with CAD/CAM software, PLC programming, and knowledge of automation systems are typically required, along with relevant certifications such as Siemens or FANUC training. Strong communication, customer service orientation, and teamwork skills help you effectively collaborate with clients and internal teams. These skills ensure you can optimize machine tool performance, deliver tailored solutions, and support customers in complex manufacturing environments.

What is an Application Engineer for Machine Tools?

An Application Engineer for Machine Tools is a professional who specializes in the integration, programming, and optimization of machine tools such as CNC machines in manufacturing environments. They work closely with customers to understand their production needs, recommend suitable machinery, and provide technical support for installation, operation, and troubleshooting. Their role often involves demonstrating equipment capabilities, training operators, and developing custom solutions to enhance productivity and efficiency. Application Engineers act as a bridge between the manufacturer and the end user, ensuring that machine tools are used to their full potential.

What are the common challenges faced by Application Engineers in the machine tool industry, and how can they be addressed?

Application Engineers in the machine tool industry often encounter challenges such as customizing solutions for diverse client needs, staying updated with rapidly evolving technologies, and troubleshooting complex machining processes. To address these, it’s important to maintain strong communication with both customers and internal teams, invest in continual technical training, and develop robust problem-solving skills. Collaboration with sales, design, and service departments also plays a key role in delivering tailored, effective solutions and ensuring customer satisfaction.

What is the difference between Application Engineer Machine Tools vs Service Engineer Machine Tools?

AspectApplication Engineer Machine ToolsService Engineer Machine Tools
CredentialsBachelor's in Mechanical/Electrical Engineering, certifications in CNC or machiningTechnical diploma or associate degree, certifications in machine maintenance
Work EnvironmentCustomer sites, sales offices, manufacturing plantsFactory floors, customer sites, repair workshops
Primary FocusPre-sales support, product demonstrations, technical consultingMachine installation, troubleshooting, repairs
Industry UsageManufacturers, machine tool suppliers, sales companiesManufacturers, service providers, maintenance companies

Application Engineer Machine Tools primarily focus on pre-sales activities, technical consulting, and supporting customers in selecting the right machinery. Service Engineers Machine Tools concentrate on maintaining, repairing, and troubleshooting machines after installation. Both roles require technical skills and industry knowledge but differ in their core responsibilities and work environments.

What are popular job titles related to Application Engineer Machine Tools jobs in Georgia? For Application Engineer Machine Tools jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Application Engineer Machine Tools jobs in Georgia look for? The top searched job categories for Application Engineer Machine Tools jobs in Georgia are:
What cities in Georgia are hiring for Application Engineer Machine Tools jobs? Cities in Georgia with the most Application Engineer Machine Tools job openings:

AI Application Engineer

Kiongroup

Atlanta, GA • On-site

$133K - $204K/yr

Full-time

Posted 9 days ago


Job description

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

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

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:

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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