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Associate Software Application Engineer Jobs in Georgia

Kiongroup

AI Application Engineer

Atlanta, GA · On-site

$133K - $204K/yr

As our models integrate with KION's data and software ecosystem, this position requires excellence ... Collaborate with data engineers and cloud engineers to establish AI/ML development environments for ...

Kion Group AG

AI Application Engineer

Atlanta, GA · On-site

$133K - $204K/yr

As our models integrate with KION's data and software ecosystem, this position requires excellence ... Collaborate with data engineers and cloud engineers to establish AI/ML development environments for ...

Waystar

Software Engineer II

Atlanta, GA · On-site

$93K - $128K/yr

While our Application Engineers are involved in multiple things throughout the Technology ... Experience building highly-scalable software solutions * Excellent written and verbal communication ...

Crew Career Center

Software Engineer II

Atlanta, GA · On-site

$93K - $128K/yr

While our Application Engineers are involved in multiple things throughout the Technology ... Experience building highly-scalable software solutions * Excellent written and verbal communication ...

Patientco

Software Engineer II

Atlanta, GA · On-site

$93K - $128K/yr

While our Application Engineers are involved in multiple things throughout the Technology ... Experience building highly-scalable software solutions * Excellent written and verbal communication ...

Unum UK

Senior Software Engineer - Java/J2EE

Atlanta, GA · On-site

$120K - $158K/yr

Lead the design, development, implementation, and maintenance of new and existing application ... Mentor Software Engineers and Associate Engineers * Maintain accountability for solution quality ...

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Associate Software Application Engineer information

What does an Associate Software Application Engineer do?

An Associate Software Application Engineer assists in designing, developing, testing, and maintaining software applications under the guidance of senior engineers. They typically write code, fix bugs, and help implement new features to meet user requirements. In addition, they often collaborate with other team members to ensure software quality and may participate in code reviews and documentation. This entry-level role is ideal for recent graduates or those with limited experience, as it offers opportunities to learn and grow within the software development field.

What are some common challenges faced by Associate Software Application Engineers during project onboarding, and how can they overcome them?

Associate Software Application Engineers often encounter challenges such as understanding legacy codebases, adapting to new development tools, and aligning with team workflows when joining a project. To overcome these, it's helpful to actively seek guidance from senior engineers, participate in code reviews, and utilize available documentation. Building strong communication with team members and taking advantage of onboarding resources can significantly ease the transition and accelerate your productivity.

What are the key skills and qualifications needed to thrive as an Associate Software Application Engineer, and why are they important?

To thrive as an Associate Software Application Engineer, you need a strong grasp of programming languages (such as Java, Python, or C#), software development principles, and a relevant bachelor’s degree in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and knowledge of software frameworks or cloud platforms is typically expected. Strong problem-solving skills, effective communication, and a collaborative mindset help you excel in team-based projects and adapt to changing requirements. These skills are critical for delivering reliable, maintainable software and contributing effectively to development teams.
What cities in Georgia are hiring for Associate Software Application Engineer jobs? Cities in Georgia with the most Associate Software Application Engineer job openings:
Associate Software Application Engineer jobs near you

AI Application Engineer

Kiongroup

Atlanta, GA • On-site

$133K - $204K/yr

Full-time

Posted 11 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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