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Geico Logo Geico · IT - Software Development

Staff Engineer, Interactive Voice Response - AI/ML

United States, Palo Alto, CA 115000.00 - 230000.00 USD / Year · Job Posted February 21, 2026
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Job Description

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 Staff Engineer is a lead member of the engineering staff working across the organization to provide a friction-less experience to 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.

Job Responsibility

  • 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 distributed systems research, brining 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

Requirements

  • 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-services 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)
  • 6+ 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
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
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