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Staff Engineer, Interactive Voice Response - AI​/ML

Job in Chevy Chase, Montgomery County, Maryland, 20815, USA
Listing for: GEICO
Full Time position
Listed on 2025-12-29
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Join to apply for the Staff Engineer, Interactive Voice Response - AI/ML role at GEICO

This role involves leading the development and deployment of large-scale, distributed AI applications that power customer self‑service across multiple communication channels (voice, IVR, chat). The Staff Engineer collaborates across engineering, product, and data science teams to translate business requirements into scalable AI/ML solutions and maintains the highest standards of protection and availability.

Base pay range

$/yr – $/yr

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge:
Great Company, Great Culture, Great Rewards and Great Careers.

Our Service Engineering team is revolutionizing customer service using AI and multi‑agent systems. We focus on enhancing self‑service rates across all communication channels.

As a Staff 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 distributed systems research, bringing innovative approaches and tools into production environments.
  • Utilize programming languages like Python, SQL, and No

    SQL 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., Tensor Flow, 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 environments (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 of new and current systems.
  • Experience with continuous delivery and infrastructure as code.
  • Experience in leveraging Power Shell scripting.
  • Experience in existing Operational Portals such as Azure Portal.
  • Experience with application monitoring tools and performance assessments.
  • Mentor junior engineers.
  • 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
  • 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.
  • 4+ years of experience with architecture and design.
  • 4+ 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.
The GEICO Pledge Great Company

At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most…

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