Staff Engineer: AI-Driven IVR & Multi-Agent Systems

Government Employees Insurance Company

Palo Alto (CA)

On-site

USD 115,000 - 230,000

Full time

14 days+
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Job summary

GEICO in Palo Alto seeks a Staff Engineer to design, develop, and deploy large-scale distributed AI applications powering self-service across multiple channels. You’ll lead cross-functional teams to translate business needs into scalable AI/ML solutions while ensuring reliability and performance.

Requires 6+ years of Python or Java, experience with AI/ML in production, cloud platforms (Azure/AWS/GCP), microservices and REST APIs, and strong architecture skills.

Qualifications

  • Hands-on proficiency with modern AI/ML frameworks and tools.
  • Experience designing, developing, and deploying AI/ML models in production.
  • Strong software engineering background with large-scale distributed systems.
  • Experience with microservices and REST APIs.

Responsibilities

  • Design, develop, and deploy large‑scale distributed AI applications powering self‑service across channels.
  • Build and optimize multi‑agent systems for intelligent, collaborative decision‑making.
  • Collaborate with cross‑functional teams to translate requirements into scalable AI/ML solutions.
  • Ensure reliability, scalability, and performance through architecture, testing, and monitoring.

Skills

Python
Java
C++
TensorFlow
PyTorch
Distributed systems
Cloud (Azure/AWS)
Docker
Kubernetes
PowerShell

Education

Bachelor’s degree in Computer Science, Information Systems, or equivalent education

Tools

Docker
Kubernetes
Azure Portal
AWS
GCP
Terraform

Job description

GEICO in Palo Alto seeks a Staff Engineer to design, develop, and deploy large-scale distributed AI applications powering self-service across multiple channels. You’ll lead cross-functional teams to translate business needs into scalable AI/ML solutions while ensuring reliability and performance.

Requires 6+ years of Python or Java, experience with AI/ML in production, cloud platforms (Azure/AWS/GCP), microservices and REST APIs, and strong architecture skills.

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