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, SMS , Email.
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 thatpower customer self-service across multiple communication channels(voice, IVR, chat, SMS Email) in CRM application.

• Build and optimize multi-agent systems that enable intelligent,collaborative decision-making to improve automation and customerexperience.

• Collaborate with cross-functional teams (engineering, product, datascience) to translate business requirements into scalable AI/ML solutions.

• Ensure system reliability, scalability, and performance through bestpractices in architecture, testing, and monitoring.

• Stay at the forefront of AI and distribute systems research, bringinginnovative approaches and tools into production environment.

• Utilize programming languages like Python, SQL, and NoSQL databases,

• Container Orchestration services including Docker and Kubernetes, and avariety of Azure tools and services

• Consistently share best practices and improve processes within and acrossteams

Qualifications

• Hands-on proficiency with modern AI/ML frameworks and tools (e.g.,TensorFlow, PyTorch) and programming languages such as Python, Java, orC++.

• Proven experience designing, developing, and deploying AI or machinelearning models (LLMs) in production environments, with a focus onscalability and performance.

• Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS).

• Strong software engineering background with expertise in building applications within Microsoft Dynamics CRM application and Microsoft Power Platforms.

• Demonstrated ability to apply AI/ML solutions to real-world businessproblems, delivering measurable impact in areas such as natural languageprocessing, speech recognition, recommendation systems, or intelligentautomation.

• Experience in building products using micro-service-oriented architectureand extensible REST APIs

• Experience building the architecture and design (architecture, designpatterns, 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 performanceassessments.

• 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 Pythonor 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

• 2+ years of experience with Microsoft Dynamics CRM, Microsoft Power Platforms preferred.

Education

• Bachelors degree in computer science, Information Systems, or equivalent

• education or work experience