Staff Engineer, AI for IVR & Multi-Agent Systems

GEICO; Bethesda (MD); On-site; USD 115,000 - 230,000; Full time

Job summary

GEICO is seeking a Staff Engineer to lead the design, development, and deployment of large-scale distributed AI applications across customer self-service channels. You will help build intelligent multi-agent systems and collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions.

The role emphasizes reliability, performance, and staying at the cutting edge of AI research, with hands-on work across Python/Java/C++ and cloud ecosystems like Azure and AWS.

Qualifications

• Proven experience designing, developing, and deploying AI/ML models in production.
• Strong software engineering background for large-scale distributed systems.
• Experience with cloud environments (Azure, AWS, GCP).
• Experience with microservices and REST APIs.
• Experience with CI/CD and infrastructure as code.
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.

Responsibilities

• Design, develop, and deploy large-scale distributed AI applications across channels.
• Build and optimize multi-agent systems for automation and customer experience.
• Collaborate with engineering, product, data science teams to translate requirements.
• Ensure system reliability, scalability, and performance through best practices.
• Stay at the forefront of AI research and bring innovations to production.
• Share best practices and improve processes across teams.

Skills

AI/ML frameworks

Python

Java

C++

Distributed systems

Cloud platforms

REST APIs

Docker

Kubernetes

PowerShell

Azure Portal

Education

B.S. in Computer Science or related field

Tools

Docker

Kubernetes

PowerShell

Azure Portal

Job description

GEICO is seeking a Staff Engineer to lead the design, development, and deployment of large-scale distributed AI applications across customer self-service channels. You will help build intelligent multi-agent systems and collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions.

The role emphasizes reliability, performance, and staying at the cutting edge of AI research, with hands-on work across Python/Java/C++ and cloud ecosystems like Azure and AWS.