Oracle-posted 3 months ago
Redwood City, CA
5,001-10,000 employees

The Oracle Applied AI team is at the forefront of developing cutting-edge AI solutions that push the boundaries of machine learning, LLM applications and AI agents. We work on real-world AI applications, deploying scalable and production-ready solutions across Oracle’s Enterprise customers. If you are passionate about Data, LLM, AI Agents, Retrieval-Augmented Generation (RAG), and Enterprise scale AI, we want you on our team!

  • Develop STOA LLM, RAG and agent evaluation solutions and integrate with Oracle GenAI products.
  • Develop algorithms and solutions using Reinforcement learning, Adversarial Generation and other data augment techniques for auto-evaluation.
  • Design, develop, and deploy AI-driven applications using advanced Machine Learning and Agentic Workflows.
  • Implement Retrieval-Augmented Generation (RAG) architectures and AI Agents for intelligent automation and decision-making.
  • Work with Oracle Vector Database and other cutting-edge retrieval systems to optimize AI performance.
  • Optimize ML models and AI workflows for real-world applications, ensuring efficiency and reliability in production environments.
  • Collaborate with cross-functional teams to integrate AI solutions into products and services at scale.
  • Communicate and share work at both internal and external technical communities.
  • Minimum of 12 years in a related position.
  • Master’s degree in computer science, statistics, or machine learning. Ph.D. degree in AI/ML or statistics preferred.
  • Real-world experiences in productionizing AI/ML systems and AI/ML model development life cycles.
  • Strong expertise in Machine Learning/AI, Statistics, and Algorithms.
  • Strong expertise in large scale distributed or high-performance systems.
  • Deep understanding of Agentic Workflows, AI Agents, or RAG architectures.
  • Hands-on experience with Crew.ai, Langchain, and similar AI development frameworks is a plus.
  • Knowledge of vector databases, particularly Oracle Vector Database (a plus).
  • Experience deploying AI applications/services in hyperscalers (AWS, Azure, GCP, OCI) is highly preferred.
  • Strong problem-solving skills and ability to build AI-powered solutions from concept to deployment.
  • Strong communication skills and being comfortable working with fuzziness.
  • Experiences with building 0-1 products are highly preferred.
  • Proficiency in Python and familiarity with relevant ML/AI libraries.
  • Hands-on experience with Crew.ai, Langchain, and similar AI development frameworks.
  • Knowledge of vector databases, particularly Oracle Vector Database.
  • Experience deploying AI applications/services in hyperscalers (AWS, Azure, GCP, OCI).
  • Experiences with building 0-1 products.
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