Senior Engineer - Applied AI (Java)

GEICO•Austin, MD

2d•$105,000 - $215,000

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. 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. GEICO is seeking a Senior Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a hands-on technical role for someone with strong Java development expertise, a passion for AI technologies, and a proven ability to deliver scalable, production-ready AI systems. You will work alongside engineering teams, data scientists, and product leaders to design, build, and integrate AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will contribute to a culture of learning, curiosity, and innovation while growing your expertise in cutting-edge AI technologies.

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 (Retrieval-Augmented Generation), MCP (Model Context Protocol), and workflow orchestration.
Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) 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.

Nice To Haves

Experience deploying AI components in Java ecosystems including Spring AI, LangChain4j, or Embabel.
Hands-on experience with Temporal or similar workflow orchestration frameworks.
Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector) and knowledge graph technologies.
Familiarity with Python-based AI frameworks (LangChain, LlamaIndex, Hugging Face) for prototyping or integration.
Experience with insurance, financial services, or other regulated industries.
Background in document intelligence, fraud detection, or anomaly modeling.
Experience mentoring junior engineers or leading small project initiatives.
Contributions to open-source projects in AI, Java, microservices, or cloud tools.
Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance.

Responsibilities

Design, develop, and maintain scalable, high-performance microservices using Java (version 21+) and Spring Boot (3.4.x) to power AI-enabled applications.
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 (e.g., Claude, Cursor, Codex) to accelerate development and improve engineering productivity.
Contribute to engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.

Benefits

We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
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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