Staff Engineer, Interactive Voice Response, AI/ML
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 (Docker, Kubernetes); and 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 (NLP, speech recognition, recommendation systems, 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.
- Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication).
- Utilize programming languages like Python, SQL, and NoSQL databases; Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
- 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.
- At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
- Ability to excel in a fast-paced, startup-like environment.
Benefits:
- The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
- A rewarding career where your ambitions are met with endless possibilities.
- Training and career advancement in a financially stable and rewarding workplace.
- Opportunities for Students & Grads.