Principal Software Engineer

2 weeks ago

Hyderabad, India Oracle Full time

Job Description - 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.

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