Job Description:
• 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 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.
• Serve as a lead member of engineering staff to provide a friction-less customer experience and maintain high standards of protection and availability.
• Mentor and guide junior engineers and contribute to technical leadership.
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.
• Mentor junior engineers.
• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication).
• Programming experience with Python, SQL, NoSQL databases, Container Orchestration (Docker, Kubernetes), and a variety of Azure tools and services.
• 8+ years of professional software development experience within a Python or Java framework.
• 6+ years of experience in open-source frameworks.
• 6+ years of experience with architecture and design.
• 6+ 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.
• At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
Benefits:
• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Market-competitive compensation
• 401K savings plan vested from day one that offers a 6% match
• Performance and recognition-based incentives
• Tuition assistance
• Industry leading training, certification assistance, career mentorship and coaching
• Career advancement and personalized development programs
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance
• Employee engagement and recognition programs
• Supports flexibility: workplace flexibility and GEICO Flex program offering ability to work from anywhere in the US for up to four weeks per year
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