Salary
💰 $95,000 - $215,000 per year
Tech Stack
AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesNoSQLPythonPyTorchSDLCSQLTensorflow
About the role
- 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 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
- Serve as a leading member of the engineering staff to provide friction-less experience for customers and maintain high standards of protection and availability
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 (natural language processing, speech recognition, recommendation systems, 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
- Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
- Ability to excel in a fast-paced, startup-like environment
- 4+ years of professional software development experience within a Python or Java framework
- 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
- At this time, GEICO will not sponsor a new applicant for employment authorization for this position