Principal Software Engineer

• The Fusion AI team is seeking a highly motivated and talented Software Developer to enhance Oracle's flagship SaaS product, Fusion Apps, by integrating cutting-edge Machine Learning and Generative AI functionalities.
• As a Principal Software Engineer, you will be responsible for designing, developing, and deploying scalable services that incorporate the latest advancements in AI and GenAI technologies.
• Your expertise will help shape innovative Conversational AI solutions, Agentic workflows, and intelligent systems that elevate the user experience.
• You should have a strong foundation in Java, Python, Data Structures, and Algorithms, along with deep experience in distributed systems, cloud-native architectures, and container orchestration (e.g., Kubernetes, Docker).

Responsibilities

• Write elegant, performant, and production-grade code in Java and Python.
• Develop scalable, microservices-based distributed systems.
• Lead the design and implementation of GenAI solutions using frameworks like RAG, LLMs, and Agentic flows.
• Architect and build reusable, high-performance ML systems using OCI and third-party ML platforms.
• Collaborate with cross-functional teams including Product Managers, Operations, and Data Scientists.
• Perform thorough code reviews and contribute to maintaining high-quality engineering standards.
• Develop and maintain pipelines for training, deploying, and monitoring ML models, including LLMs, for real-time and batch use cases.
• Translate complex business requirements into scalable technical solutions.
• Innovate and iterate through fast prototyping, feedback loops, and hands-on experimentation.
• Ensure system quality through development best practices and QA procedures.

Preferred Qualifications

• Strong programming skills in Java and Python.
• Solid understanding of Object-Oriented Design, Data Structures, and Algorithms.
• Experience building cloud-native, scalable systems in production environments.
• Deep familiarity with Kubernetes, Docker, and container orchestration.
• Experience with GenAI, LLMs, Conversational AI, and RAG-based systems.
• Hands-on experience with Agentic frameworks like LangGraph, Autogen, AG2, or similar.
• Proven track record of delivering AI/ML-driven features in enterprise-grade software.
• Strong collaboration and communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
• Ability to drive architectural decisions and strategic technology direction.