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Overview
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!
About the Team
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!
What You’ll Do
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 augmentation 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.
What We’re Looking For
Minimum of 12 years in a related position
Master’s degree in computer science, statistics, or machine learning. Ph.D. 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.
Experience building 0-1 products are highly preferred.
Proficiency in Python and familiarity with relevant ML/AI libraries.
If you’re excited about AI Agents, RAG, and building AI-powered solutions that scale, apply now and be part of our Applied AI team!
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About the Team
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!
What You’ll Do
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 augmentation 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.
What We’re Looking For
Minimum of 12 years in a related position
Master’s degree in computer science, statistics, or machine learning. Ph.D. 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.
Experience building 0-1 products are highly preferred.
Proficiency in Python and familiarity with relevant ML/AI libraries.
If you’re excited about AI Agents, RAG, and building AI-powered solutions that scale, apply now and be part of our Applied AI team!
#J-18808-Ljbffr