Oracle is looking to hire experienced AI Developers to lead the design and development of advanced AI applications, particularly those powered by large language models (LLMs), and integrate them across Oracle's Fusion ecosystem to solve cutting-edge problems and deliver secure, scalable, and responsible AI solutions.
Requirements
- Proficiency in Python (and/or Java), cloud-based data pipelines, and MLOps tools (e.g., OCI Data Science, MLflow, Kubeflow).
- Hands-on experience with models such as OpenAI, Anthropic, or open-source LLMs; familiarity with prompt engineering, fine-tuning, and deployment strategies.
- Experience integrating AI into enterprise cloud ecosystems.
- Deep understanding of NLP, conversational systems, and dialog design.
- Proven ability to design AI systems with safety, fairness, and governance in mind.
- Experience with agent-based solutions (e.g., using LangGraph or similar).
- Experience with RAG (retrieval-augmented generation) pipelines.
Responsibilities
- Architect and implement scalable applications using LLMs, focusing on prompt engineering, model customization, and performance optimization.
- Design and orchestrate agent-based solutions (e.g., using LangGraph or similar), including task decomposition, tool invocation, and setting up guardrails for safe operations.
- Develop effective RAG (retrieval-augmented generation) pipelines with robust chunking, embedding model selection, and vector store optimization.
- Structure and refine prompts, manage tool/function calling, and evaluate when to use general vs. fine-tuned models based on trade-offs like accuracy, latency, and cost.
- Build secure, scalable integrations with enterprise systems, using NL2SQL patterns and API connectivity.
- Design, train, and optimize machine learning models for practical, real-world use cases.
- Build end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, and deployment.
Other
- 5+ years in software/AI development, with 3+ years focused on LLMs or related deep learning systems.
- Excellent communication and mentorship skills; thrives in cross-functional, diverse teams.
- Collaborate in agile pods and influence architectural and strategic decisions across teams.
- Evaluate emerging AI technologies and run proof-of-concept experiments to drive innovation.
- Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
