Hybrid Senior Engineer – Applied AI, Java

at GEICO

• Job title: Senior Engineer – Applied AI, Java
• Job type: Full Time
• Experience level: Senior
• Salary: $105,000 - $215,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Distributed Systems, Docker, Google Cloud Platform, Java, Kubernetes, Microservices, Spring, Spring Boot, SpringBoot
• Location requirements: Hybrid, Chevy Chase, United States

About the role

• Senior Engineer developing AI-powered solutions and scalable microservices at GEICO. Collaborating with cross-functional teams to enhance customer experiences through innovative AI applications.

Responsibilities

• Design, develop, and maintain scalable, high-performance microservices using Java (version 21+) and Spring Boot (3.4.x)
• Contribute to the architecture and implementation of applied AI solutions across enterprise workflows including automation, document intelligence, decision support, and intelligent assistants
• Build and integrate AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic using Java-based AI frameworks
• Implement Retrieval-Augmented Generation (RAG) patterns, Model Context Protocol (MCP) integrations, and agent skills to enhance AI application capabilities
• Develop systems that meet high standards for scalability, resilience, performance, and availability in production environments
• Leverage knowledge graphs and vector databases to enhance reasoning, entity relationships, and context retrieval in AI workflows
• Collaborate with product, engineering, operations, and analytics partners to translate business needs into technical designs and deliver scalable AI solutions
• Participate in code reviews, provide constructive feedback, and help junior engineers develop AI and agentic workflow skills
• Drive continuous improvement by exploring new models, frameworks, and reasoning techniques and applying them to real-world challenges
• Utilize AI-assisted development tools to accelerate development and improve engineering productivity
• Contribute to engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
• 5+ years of professional software engineering experience building maintainable, scalable, and high-performance systems in Java
• Strong proficiency in modern Java (preferably Java 21) with familiarity of recent features and best practices
• Solid knowledge of Spring Boot (preferably 3.4.x+), Spring Cloud, and related frameworks
• Hands-on experience working with Generative AI, LLM-based systems, or AI-powered applications
• Experience in designing and deploying distributed systems and microservice-based architectures
• Understanding of AI concepts including agent architectures, RAG, MCP, and workflow orchestration
• Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex) to improve software engineering productivity
• Strong understanding of RESTful API design, secure API development, and service-to-service communication patterns
• Familiarity with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Solid understanding of CI/CD, automated testing, and observability practices
• Good communication skills and a collaborative, team-oriented mindset.
• Ability to collaborate across teams and co-create solutions with engineers, product managers, and domain experts.

Benefits

• Comprehensive Total Rewards program
• Health insurance
• Mental healthcare
• Fertility assistance
• Adoption assistance
• 401K savings plan vested from day one with a 6% match
• Performance and recognition-based incentives
• Tuition assistance
• Workplace flexibility with GEICO Flex program allowing work from anywhere in the US for up to four weeks per year