Staff Engineer – .NET

GEICO

Staff Engineer focusing on building high-performance platforms at GEICO. Collaborating across teams to design and implement AI capabilities for modern insurance applications.

Posted 5/3/2026full-timeBethesda • California, Maryland • 🇺🇸 United StatesLead💰 $115,000 - $230,000 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
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.

Requirements

What you’ll need

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.

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

PythonC#JavaSQLNoSQLGenerative AILLMsAI frameworksMicroservices architectureREST APIs

Soft Skills

LeadershipMentoringCollaborationProblem-solvingInnovationCuriosityCommunicationCo-creationAdaptabilityProcess improvement