GE Appliances

Senior AI Engineer

GE Appliances$100K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

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

Responsibilities

  • Design, build, and operate core AI platform services with senior engineers and architects
  • Develop, test, and maintain backend services for AI agent execution and tool integration
  • Implement RESTful and event-driven APIs for secure enterprise interactions
  • Contribute to a centralized tool gateway for AI agents
  • Integrate enterprise data platforms and services through defined contracts
  • Deploy and operate services on AWS and Google Cloud, focusing on reliability
  • Define best practices for containerization and orchestration, including Docker and Kubernetes

Benefits

  • Mentoring opportunities for junior engineers
  • Work in a collaborative Agile team environment
  • Exposure to cutting-edge AI technologies
  • Opportunity to develop scalable and secure platform capabilities
  • Engagement with cross-functional teams, enhancing professional networking
Full Job Description
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

About GE Appliances

GE Appliances is a home appliance manufacturer that produces a range of products including refrigerators, dishwashers, ovens, and laundry machines. The company was founded in 1907 and is headquartered in Louisville, Kentucky. GE Appliances is a subsidiary of Haier Group, a Chinese multinational consumer electronics and home appliances company. The company has a strong focus on innovation and sustainability, and has received numerous awards for its products and practices. GE Appliances has manufacturing facilities in the US and has a presence in over 100 countries.
Learn more about GE Appliances
Size
12,000 employees
Industry
Founded
2004

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