Senior Applications Developer

Role Overview

We are seeking a Server Developer for Generative AI Applications to play a key role in enhancing Oracle s HCM and SCM applications with Generative AI capabilities

This position focuses on integrating advanced AI functionalities, leveraging pre-existing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, into our enterprise systems

You will collaborate with cross-functional teams to develop, optimize, and deploy these features, ensuring a seamless user experience across Oracle s applications

Key Responsibilities

Integration Development:

Work on integrating LLMs and RAG frameworks into Oracle s HCM and SCM applications

Develop APIs and backend services that enable seamless interaction between Generative AI models and existing applications

Customization and Enhancement:

Customize Generative AI capabilities to address specific business requirements in HCM and SCM domains

Enhance workflows and user experiences by embedding AI-driven insights and automation

Performance Optimization:

Optimize AI integrations for low-latency and high-reliability performance in enterprise-scale environments

Refine backend systems to handle real-time data processing and AI computations efficiently

Collaboration:

Work closely with AI research teams to understand model capabilities and align with application needs

Coordinate with product managers and frontend developers to deliver a cohesive end-to-end solution

Security and Scalability:

Implement security best practices to safeguard data and ensure compliance with enterprise standards

Design scalable solutions capable of handling growing user demands and workloads

Qualifications

Required Skills:

Proficiency in backend development using languages Python and Java

Experience integrating third-party APIs and frameworks into enterprise applications

Knowledge of RESTful API design and microservices architecture

Familiarity with cloud platforms like Oracle Cloud Infrastructure (OCI), AWS, or GCP

Experience with containerization and orchestration tools such as Docker and Kubernetes

Preferred Skills:

Understanding of LLMs and RAG frameworks, including practical experience with AI model integration

Familiarity with enterprise software, particularly in the HCM and SCM domains

Knowledge of CI/CD pipelines and DevOps practices

Proficiency in working with both SQL and NoSQL databases

Soft Skills:

Strong problem-solving and analytical thinking abilities

Effective communication and collaboration skills to work across teams

Adaptability to evolving technologies and project requirements