Senior AI Engineer

About the role

The Senior AI Engineer will design, develop, and operate core AI platform services that enable secure, scalable, and reliable AI agents and applications. They will work closely with senior engineers and architects to deliver production-grade platform capabilities while mentoring junior engineers and owning features end-to-end.

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.

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
• Able 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

Benefits

GE Appliances offers a comprehensive benefits package including health insurance, retirement plans, paid time off, and more. We also provide opportunities for professional growth and development, as well as a supportive and inclusive workplace culture.

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time position.