Staff Engineer, Interactive Voice Response, AI/ML

September 27

🦀 Maryland – Remote

Although this job is listed in Maryland, this company may be open to hiring remote in other states.

💵 $115k - $230k / year

⏱ Part Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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GEICO

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Finance • Insurance

GEICO is a well-known American auto insurance company, providing coverage to a wide range of customers. As a leading provider of car insurance, GEICO is known for its innovative marketing and customer-centric services, delivering affordable insurance options. The company utilizes a user-friendly website for managing policies and claims, applying necessary online privacy measures to protect personal data and improve user experience. While primarily focused on auto insurance, GEICO also offers other types of insurance, including homeowner and renter policies.

10,000+ employees

Founded 1936

💸 Finance

📋 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.