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Senior Engineer - Backend - Document AI/ML

Geico

$105,000 - $215,000
Aug 19, 2025
Seattle, WA, USA • San Francisco, CA, USA
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GEICO is seeking to transform its insurance business from a traditional IT model to a tech organization with engineering excellence as its mission. The goal is to build a unified and modernized document management system that integrates with multiple business applications to serve critical business processes, leveraging AI/ML for document intelligence.

Requirements

  • Fluency and specialization with at least two modern languages such as Java, Golang, Python or C including object-oriented design
  • Working knowledge and experience of building data intensive large-scale systems with focus on fault-tolerance and throughput
  • Extensive knowledge and experience in AI/ML models, algorithms, and MLOps best practices
  • Expertise of building enterprise-grade AI/ML products at scale
  • Experience in Document Intelligence related product development
  • Experience building products of micro-services oriented architecture and extensible REST APIs
  • Experience building the architecture and design of new and current systems (architecture, design patterns, reliability, and scaling)

Responsibilities

  • Focus on building and operating machine learning models that will be consumed in document management domain contribute to the end-to-end ML system building.
  • Coordinate and collaborate with product managers, engineering team members and customers to solve complex problems
  • Leverage open-source frameworks and embrace the cloud native development paradigm
  • Mentor and help coach and strengthen the technical expertise and know-how of our engineering and product community
  • Always push for engineering excellence; Consistently share best practices and improve processes within and across teams

Other

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
  • 5+ years of professional software development experience on large-scale distributed systems for high-traffic internet applications or business-critical enterprise systems
  • 5+ years of building custom AI/ML models with main-stream machine learning algorithms
  • 4+ years of experience in open-source frameworks
  • 3+ years of experience with AI/ML frameworks like TensorFlow, PyTorch, etc.