The Senior Engineer role at GEICO involves designing, developing, and deploying large-scale distributed AI applications to enhance customer self-service across various communication channels. The Service Engineering team focuses on leveraging AI and multi-agent systems to improve customer experience and operational efficiency. This position requires collaboration with cross-functional teams to translate business requirements into scalable AI/ML solutions. The ideal candidate will have a strong technical background and experience in building reliable and scalable systems.

• Hands-on proficiency with modern AI/ML frameworks and tools such as TensorFlow and PyTorch.
• Proven experience designing, developing, and deploying AI or machine learning models in production environments.
• Strong software engineering background with expertise in building large-scale distributed systems, preferably in a cloud environment.
• Demonstrated ability to apply AI/ML solutions to real-world business problems.
• Experience in building products using micro-service-oriented architecture and extensible REST APIs.
• Experience with continuous delivery and infrastructure as code.
• Bachelor’s degree in computer science, Information Systems, or equivalent education or work experience.

• Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels.
• Build and optimize multi-agent systems that enable intelligent, collaborative decision-making.
• Collaborate with cross-functional teams to translate business requirements into scalable AI/ML solutions.
• Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring.
• Stay at the forefront of AI and distributed systems research, bringing innovative approaches into production.
• Utilize programming languages like Python, SQL, and NoSQL databases, along with container orchestration services.
• Consistently share best practices and improve processes within and across teams.