Principal Software Engineer
Oracle Hyderabad
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).
- 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.
- 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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Job Description
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