Senior Engineer - Applied AI; Java
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-01-13
Listing for:
GEICO
Full Time
position Listed on 2026-01-13
Job specializations:
-
Software Development
AI Engineer, Software Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
Location: New York
Base pay range
$ - $ per year
Job OverviewGEICO is seeking a Senior Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This hands‑on technical role requires strong Java development expertise, passion for AI technologies, and 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 expertise in cutting‑edge AI technologies.
What You Will Do- 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.
- 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.
- 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, pg Vector) and knowledge graph technologies.
- Familiarity with Python‑based AI frameworks (Lang Chain, Llama Index, Hugging Face) for prototyping or integration.
- Experience with insurance, financial…
Position Requirements
10+ Years
work experience
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