Our Service Engineering team at GEICO is revolutionizing customer service using AI and multi-agent systems. If you're passionate about creating large-scale, distributed AI applications with significant business impact, this opportunity is perfect for you. Our focus is on enhancing self-service rates across all communication channels, from voice (IVR) to chat.

Our Senior Engineer is a leading member of the engineering staff working across the organization to provide friction-less experience for our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.  

As a Senior Engineer, you will:

• Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat).
• Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience.
• Collaborate with cross-functional teams (engineering, product, data science) 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 distribute systems research, bringing innovative approaches and tools into production environment.
• Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
• Consistently share best practices and improve processes within and across teams

Qualifications

• Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++.
• Proven experience designing, developing, and deploying AI or machine learning models (LLMs) in production environments, with a focus on scalability and performance.
• Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS).
• Demonstrated ability to apply AI/ML solutions to real-world business problems, delivering measurable impact in areas such as natural language processing, speech recognition, recommendation systems, or intelligent automation.
• Experience in building products using micro-service-oriented architecture and extensible REST APIs
• Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
• Experience with continuous delivery and infrastructure as code
• Experience in leveraging PowerShell scripting
• Experience in existing Operational Portals such as Azure Portal
• Experience with application monitoring tools and performance assessments.
• Ability to excel in a fast-paced, startup-like environment
• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)

Experience

• 4+ years of professional software development experience within a Python or Java framework (J2EE, web containers and Java)
• 4+ years of experience in open-source frameworks
• 3+ years of experience with architecture and design
• 3+ years of experience with AWS, GCP, Azure, or another cloud service

Education

• Bachelor’s degree in computer science, Information Systems, or equivalent education or work experience