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Staff Engineer

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Geico

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Location:
United States , Chevy Chase

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

115000.00 - 230000.00 USD / Year
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Job Description:

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. 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.

Job Responsibility:

  • 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
  • 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

Requirements:

  • 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 production AI systems including agentic workflows and intelligent automation features
  • Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
  • Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
  • Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts
  • Experience mentoring engineers and helping others grow in AI, LLM, an agent-based system design
  • A history of delivering measurable business outcomes from AI systems
  • Strong competency in distributed systems, service design, performance optimization, and reliability engineering
  • Experience in building products using micro-services oriented architecture and extensible REST APIs
  • Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
  • Knowledge of developer tooling across the software development life cycle(task management, source code, building, deployment, operations, real-time communication)
  • Risk assessment
  • Ability to excel in a fast-paced, startup-like environment
  • 8+ years of professional software development experience with C#, Java or any object-oriented programming language, and building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures
  • 4+ years of experience in open-source frameworks
  • 3+ years of experience with architecture and design
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience
What we offer:
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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