Staff Engineer

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Position Summary

GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.

Position Description

Our Staff Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.  

Position Responsibilities

As a Staff Engineer, you will:

• Focus on multiple areas and provide leadership to the engineering teams

• Own complete solution across its entire life cycle

• Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a culture of learning, curiosity, and innovation.

• Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows.

• Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges.

• Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams.

• Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments.

• Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.

• Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications

• Accountable for the quality, usability, and performance of the solutions

• Lead in design sessions and code reviews to elevate the quality of engineering across the organization

• Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services

• Mentor more junior team members professionally to help them realize their full potential

• Consistently share best practices and improve processes within and across teams

Qualifications

• Fluency and specialization with at least two modern languages such as Java, Python or C# including object-oriented design

• 8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production.

• Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.

• Demonstrated experience designing, building, and operating pr