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GEICO

Senior Staff Engineer – Tiering & Rating Platform

GEICO

Senior Staff Engineer building AI-powered capabilities for GEICO. Driving insurance business transformation with high-performance and low-maintenance platforms in a hybrid team environment.

Posted 5/17/2026full-timeBethesda • California, Maryland, Washington • 🇺🇸 United StatesSenior💰 $130,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies
AzureDistributed SystemsDockerJavaKubernetesNoSQLPythonSDLCSQL

About the role

Key responsibilities & impact
  • Focus on multiple areas and provide leadership to the engineering teams.
  • 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.
  • Experiment rigorously: define hypotheses, run evaluations, measure impact, and refine models in production.
  • Lead through technical influence, providing technical direction and mentorship on AI architecture, LLMs, agent-based development, experimentation, and deployments across multiple teams.
  • Set standards for AI reliability, interpretability, and governance tailored to application domains and regulatory constraints.
  • Stay on the frontier of AI capabilities continuously evaluating new tools, models, and frameworks to apply responsibly in application domains.
  • Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges.
  • Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.
  • Utilize programming languages like Python, C#, Java or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.

Requirements

What you’ll need
  • Fluency and specialization with at least two modern languages such as Java, Python, GO, or C# including object-oriented design.
  • 8+ 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.
  • A track record of turning research ideas into working products with measurable outcomes.
  • Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.
  • Strong understanding of retrieval-augmented generation (RAG), prompt engineering, text-to-structure extraction, and vector database design.
  • 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)
  • Ability to excel in a fast-paced, startup-like environment.

Benefits

Comp & perks
  • 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.

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Hard Skills & Tools
PythonJavaC#GOSQLNoSQLGenerative AILLMsAI frameworksmicro-services architecture
Soft Skills
leadershipcollaborationmentorshipinnovationcommunicationproblem-solvingtechnical influenceco-creationadaptabilityevaluative thinking