We’re looking for a senior developer at Oracle focused on building AI-powered tools and capabilities . This includes working with LLMs, agent frameworks , and other emerging AI technologies to build internal tools, extend our product suite with new AI features, and help other teams across the organization build and utilize the AI frameworks.
In addition, you will be responsible for enhancing our current java applications and assisting other senior developers as part of their agile team.
You’ll be part of a highly collaborative and innovative team of developers, product managers, and designers. Your role will involve maintaining and managing current suite of our applications—especially in our Spring Boot Java ecosystem—while also exploring and applying modern AI techniques to solve real problems.
This is a hands-on role and we are specifically looking for a versatile Java developer with a passion for Artificial Intelligence. Whether your experience comes from a professional background applying LLMs /AI technologies or from a deep personal curiosity for generative AI projects, we want to hear from you.
Building and maintaining ecommerce applications and services and APIs in a Spring Boot Java environment
Designing and implementing AI-powered tools and product features
Collaborating with other teams to help them integrate LLMs and AI patterns
Exploring and applying LLM capabilities such as summarization, classification, RAG, and prompt pipelines
Writing clean, maintainable, and well-tested code
Ensuring reliability, performance, and scalability of the systems you build
Staying up to date with developments in the AI space and sharing insights with your team
Managing our test automation framework and coaching teams on how to utilize best available technology to build and enhance the Development pipeline
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Skills required
At least 5 years of experience in java development
Proven technical leadership
Strong Java and Spring Boot experience in production environments
Solid understanding of REST APIs, databases (SQL/NoSQL), and system architecture
Familiarity with Docker, CI/CD pipelines, and Kubernetes
Strong communication and collaboration skills
Comfortable writing well-structured, maintainable code
Professional experience building or integrating AI-powered systems in production, including work with LLM APIs (e.g. OpenAI, Claude), prompt engineering, or agent frameworks.
Experience building internal tools or customer-facing AI features
Experience in building and implementing Test automation frameworks