Staff Engineer - Applied AI (Java)

GEICO•Austin, MD

1d•$115,000 - $230,000

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. We are seeking an accomplished Staff Software Engineer with a proven track record in Java development, extensive experience with Spring Boot, and expertise in designing and maintaining microservice-based architectures. The ideal candidate will also bring direct, hands-on experience with Artificial Intelligence technologies such as RAG, MCP, Agent Skills, and the end-to-end delivery of Generative AI applications. We require experience in leveraging AI-assisted development tools such as Claude, Cursor, Codex, or similar platforms to improve productivity. You will play a pivotal role in shaping our software platforms, driving innovation, and mentoring the next generation of engineers.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
10+ years of professional experience building maintainable, scalable, and high-performance systems in Java.
Expert in modern Java (preferably Java 21) and hands-on with the latest features and best practices.
Deep knowledge of Spring Boot (preferably 3.4.x+), Spring Cloud, and related frameworks.
Extensive experience in designing and deploying distributed systems and microservice-based architectures.
Demonstrated hands-on experience with Generative AI applications and familiarity with AI concepts such as RAG and MCP.
Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) to improve software engineering productivity is required.
Strong understanding of RESTful API design, secure API development, and service-to-service communication patterns.
Proficient with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
Solid grounding in CI/CD, automated testing, infrastructure-as-code, and observability.
Excellent communication skills, a collaborative mindset, and experience mentoring engineers.

Nice To Haves

Experience with Temporal (workflow orchestration) and Spring AI (artificial intelligence extensions for Spring).
Open-source or community contributions in AI/Java/microservices/cloud tools.

Responsibilities

Design, develop, and maintain scalable, high-performance, and modular microservices using Java (version 21+) and Spring Boot (3.4.x).
Collaborate with Enterprise Architects and Product Managers to define technical roadmaps and architectural blueprints.
Build and integrate AI-powered features, focusing on Generative AI solutions.
Partner with ML and Data Science teams to productionize AI models and support cutting-edge use cases.
Provide technical leadership and mentorship for engineering teams; establish best practices for code quality, security, testing, and DevOps.
Review code, coach engineers, and foster an inclusive, learning-rich environment.
Champion innovation, stay abreast of technology trends, and drive continuous improvement in engineering processes, observability, and automation.

Benefits

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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