Senior AI Engineer

GE Appliances, a Haier company

Louisville (KY)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

GE Appliances, a Haier company, seeks a Senior AI Engineer to design, develop, and operate core AI platform services enabling secure, scalable AI agents and applications. You will work with senior engineers to deliver production-grade capabilities and mentor junior engineers, owning features end-to-end.

You will collaborate across AI, data, security, and product teams, delivering robust APIs and observability while upholding security and reliability standards.

Qualifications

  • Bachelor’s degree in computer science, software engineering, or a related field.
  • 5+ years of backend software engineering, cloud engineering, or platform development.
  • Strong expertise in Python programming.
  • Hands-on experience building and operating services on AWS and/or Google Cloud.
  • Solid understanding of microservices architecture, RESTful APIs, and event-driven systems.
  • Experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, MongoDB).
  • Experience with DevOps tools and practices, including GitHub, CI/CD pipelines, Docker, Kubernetes, and Terraform.
  • Ability to independently own and deliver engineering tasks and small projects.
  • Experience working in Agile/SCRUM teams.
  • Strong problem-solving skills and ability to work in complex systems.

Responsibilities

  • Design, develop, and operate core AI platform services.
  • Build, test, and maintain backend services for AI agent execution and orchestration.
  • Implement RESTful and event-driven APIs for secure enterprise interactions.
  • Contribute to a centralized tool gateway/mediation layer for AI agents.
  • Integrate enterprise data platforms, APIs, and services via defined contracts.
  • Deploy and operate services on AWS and Google Cloud with reliability and security.
  • Follow best practices for Docker, Kubernetes, and Helm in containerization.
  • Maintain CI/CD pipelines and infrastructure-as-code workflows.
  • Implement logging, metrics, tracing, and alerts for observability.
  • Participate in incident response, troubleshooting, and RCA for platform services.
  • Mentor junior engineers through code reviews and pairing.
  • Collaborate with AI engineers, data engineers, security teams, and product partners.
  • Participate in Agile ceremonies like sprint planning and standups.

Skills

Python
Backend software development
Cloud platforms
Microservices
RESTful APIs
DevOps
Agile/SCRUM
Problem solving
Independent ownership

Education

Bachelor’s degree in computer science or software engineering

Tools

Docker
Kubernetes
Terraform
GitHub
CI/CD pipelines

Job description

At GE Appliances, a Haier company, we come together to make “good things, for life.” As the fastest-growing appliance company in the U.S., we’re powered by creators, thinkers and makers who believe that anything is possible and that there’s always a better way. We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together.


The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities: we come together, we always look for a better way, and we create possibilities.


We are looking for a skilled and motivated Senior AI Engineer to join our enterprise AI platform team. In this role, you will design, develop, and operate core AI platform services that enable secure, scalable, and reliable AI agents and applications. The Senior AI Engineer will work closely with senior engineers and architects to deliver production-grade platform capabilities while mentoring junior engineers and owning features end-to-end.


Position

Senior AI Engineer


Location

USA, Louisville, KY


How You'll Create Possibilities


  • Work with Senior Software Engineers and Principal Architects to design, build, and operate core AI platform services.

  • Develop, test, and maintain backend services supporting AI agent execution, orchestration, and tool integration.

  • Implement RESTful and event-driven APIs that enable agents to interact with enterprise systems in a secure and auditable way.

  • Contribute to the implementation of a centralized tool gateway/mediation layer used by AI agents.

  • Integrate enterprise data platforms, APIs, and services through well-defined contracts and interfaces.

  • Deploy and operate services on AWS and Google Cloud with a focus on reliability, scalability, and security.

  • Define and follow best practices for containerization and orchestration (Docker, Kubernetes, Helm).

  • Establish, maintain, and improve CI/CD pipelines and infrastructure-as-code workflows.

  • Implement logging, metrics, tracing, and alerts to ensure platform observability.

  • Participate in incident response, troubleshooting, and root cause analysis for platform services.

  • Mentor junior engineers through code reviews, pairing, and technical guidance.

  • Collaborate cross-functionally with AI engineers, data engineers, security teams, and product partners.

  • Participate in Agile ceremonies, including sprint planning, stand-ups, retrospectives, and backlog grooming.


What You'll Bring to Our Team


  • Bachelor’s degree in computer science, software engineering, or a related field

  • 5+ years of experience in backend software engineering, cloud engineering, or platform development

  • Strong expertise in Python programming

  • Hands-on experience building and operating services on AWS and/or Google Cloud

  • Solid understanding of microservices architecture, RESTful APIs, and event-driven systems

  • Experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, MongoDB)

  • Experience with DevOps tools and practices, including GitHub, CI/CD pipelines, Docker, Kubernetes, and Terraform

  • Ability to independently own and deliver engineering tasks and small projects.

  • Experience working in Agile/SCRUM teams

  • Strong problem-solving skills and ability to work in complex systems


Preferred Qualifications


  • Exposure to AI/ML platforms, LLM-based systems, or agent frameworks

  • Experience building or integrating API gateways or mediation layers

  • Experience with messaging and streaming systems (Kafka, Kinesis, Pub/Sub)

  • Familiarity with serverless architectures (AWS Lambda, Google Cloud Functions)

  • Knowledge of cloud security best practices (IAM, encryption, secrets management)

  • Experience with observability tools such as Prometheus, Grafana, or ELK

  • Prior experience mentoring junior engineers or acting as a technical lead on small initiatives


Our Culture

Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D). This underscores our commitment to fostering an environment where every individual feels valued, connected, and empowered to contribute, while positioning our organization to adapt seamlessly to the evolving needs of our workforce and communities.


This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute. Strengthen communities where we live and work. Reinforce a culture of belonging, purpose, and engagement. Reflect the diversity of the communities we serve through our workforce, products, and practices.


By further embedding Zero Distance into our People and Culture framework, we will continue to build a deeply connected organization. We are cultivating a culture of engagement, belonging, and connection, because while attracting new talent remains a priority, retention is a cornerstone of our strategy.


GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GE Appliances, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.


GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.


GE Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S


If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e-mail to ask.recruiting@geappliances.com

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