Senior Staff Engineer

GEICO•Chevy Chase, MD

1d•$130,000 - $260,000

About The Position

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 Senior Staff Engineer is a key member of the engineering staff working across the organization to provide 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. This is a hands-on, senior individual contributor role for someone who combines deep technical skills and the ability to apply AI in complex, real-world systems.

Requirements

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
10+ years of professional software development experience with C#, Java, GO, Python or any object-oriented programming language, and 2+ years of experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures.
8+ years of experience with architecture and design.
6+ years of experience in open-source frameworks.
4+ years of experience with AWS, GCP, Azure, or another cloud service.

Responsibilities

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.

Benefits

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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