Staff Engineer - Ivr

GEICO GEICO · Insurance · Palo Alto, CA +3

Staff Engineer role focused on designing, developing, and deploying large-scale distributed AI applications and multi-agent systems to enhance customer self-service across voice (IVR) and chat channels. Requires strong software engineering background, experience with AI/ML frameworks, and deploying models in production.

What you'd actually do

  1. Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat).
  2. Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience.
  3. Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into scalable AI/ML solutions.
  4. Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring.
  5. Stay at the forefront of AI and distributed systems research, brining innovative approaches and tools into production environment.

Skills

Required

  • Python
  • SQL
  • NoSQL databases
  • Docker
  • Kubernetes
  • Azure tools and services
  • TensorFlow
  • PyTorch
  • Java
  • C++
  • AI/ML frameworks
  • LLMs
  • large-scale distributed systems
  • cloud environment (Azure or AWS)
  • natural language processing
  • speech recognition
  • recommendation systems
  • intelligent automation
  • micro-services oriented architecture
  • extensible REST APIs
  • architecture and design
  • continuous delivery
  • infrastructure as code
  • PowerShell scripting
  • Azure Portal
  • application monitoring tools
  • performance assessments
  • developer tooling

Nice to have

  • AWS
  • GCP

What the JD emphasized

  • large-scale distributed AI applications
  • multi-agent systems
  • production environments
  • scalability and performance
  • measurable impact

Other signals

  • large-scale distributed AI applications
  • multi-agent systems
  • customer self-service
  • production environments
  • measurable impact