Senior AI Application Engineer position is about the whole process of making cloud-native AI apps with Java, Python, and Spring Boot. The main tasks are to create AI-powered processes that use LLMs, agentic frameworks, and RAG systems, work with other departments, solve problems of distributed applications, and connect the solutions with OCI services for enterprise-scale AI deployment in microservices and containerized environments.
Location: India
Job ID: 317769
Job Type: Regular Employee
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Design and develop cloud-native application services on Kubernetes using Java, Python, and Spring Boot.
Integrate application components with Oracle Cloud Infrastructure services, including GenAI Service, Object Storage, and API Gateway.
Implement AI capabilities using LLMs, prompt engineering, and agentic frameworks (OpenAI Agent SDK, LangGraph).
Build Retrieval-Augmented Generation (RAG) workflows including embeddings, indexing, and hybrid search.
Support CI/CD processes and containerized deployment workflows using Podman, Docker, and Oracle Kubernetes Engine (OKE).
Troubleshoot software and runtime issues across distributed cloud environments.
Collaborate with engineering teams to align solutions with business requirements.
Research and implement emerging AI technologies, frameworks, and engineering patterns.
Share knowledge, mentor peers, and contribute to internal AI/cloud enablement programs.
A bachelor’s or master’s degree in computer science, engineering, or a closely related field is required.
A minimum of three years of hands-on experience in software development using Java, Python, and Spring Boot is necessary.
A very good grasp of data structures, algorithms, and the design of scalable applications is essential.
Expertise in LLM technologies, prompt engineering, and agentic frameworks is desirable.
Familiarity with RAG systems, indexing approaches, and hybrid search workflows is an asset.
Good understanding of OCI services, containers, and Kubernetes-based applications is considered a plus.
Excellent problem-solving, analytical, and communication skills are expected.
Should be able to work independently, be proactive, and quickly learn new technologies.
IC3
Analytics, AI/ML, Cloud Development, Java, Python, Spring Boot, LLMs, Agentic Frameworks, RAG Systems, Kubernetes, OCI
Oracle is recognized worldwide as the leader in cloud technology and it aids organizations to overcome current challenges with the help of future innovations. Oracle being a 40 years old company is trustful and its professional culture is empowering and inclusive; moreover, it like other practices offers competitive benefits, supports work-life balance and provides global career opportunities in a diverse and respectful environment.