Senior AI Engineer

GE Appliances•Louisville, KY

6d•Onsite

About The Position

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 . Interested in joining us on our journey? 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.