Staff Engineer - Applied AI; Java

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.

• 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 product ionize 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 Dev Ops.
• 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.

• 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.

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

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The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly…