Oracle Cloud Infrastructure AI Developer

We are looking for an experienced OCI AI Developer to design, develop, and deploy enterprise-grade AI solutions on Oracle Cloud Infrastructure (OCI). The ideal candidate should have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks, along with hands-on experience building scalable AI applications on OCI. Key Responsibilities : - Design, develop, and deploy AI/ML and Generative AI solutions using Oracle Cloud Infrastructure (OCI). - Build enterprise AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures. - Develop intelligent AI agents using frameworks such as CrewAI, LangGraph, or AutoGen. - Implement scalable RAG pipelines using vector databases and embedding models. - Utilize OCI Generative AI and OCI Data Science services for model development, deployment, and lifecycle management. - Integrate AI solutions with enterprise applications through REST APIs and cloud-native services. - Optimize AI model performance, scalability, security, and operational efficiency. - Collaborate with data engineers, architects, and business stakeholders to deliver AI-driven business solutions. - Stay current with advancements in Generative AI, LLMs, and Oracle AI technologies. Required Skills : - 10-12 years of experience in AI/ML and software development. - Strong expertise in Oracle Cloud Infrastructure (OCI), including OCI Generative AI and OCI Data Science. - Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and enterprise AI solution development. - Experience with AI agent frameworks such as CrewAI, LangGraph, or AutoGen. - Strong proficiency in Python programming. - Experience with LangChain, TensorFlow, PyTorch, or similar AI/ML frameworks. - Hands-on experience with vector databases, embeddings, prompt engineering, and AI orchestration. - Experience integrating AI solutions using REST APIs and cloud-native architectures. - Strong understanding of MLOps, model deployment, monitoring, and AI governance. - Excellent analytical, problem-solving, and stakeholder communication skills. Education (Mandatory) : - Full-time B.E./B.Tech, MCA, M.Tech, MS, or M.Sc in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field. We are looking for an experienced OCI AI Developer to design, develop, and deploy enterprise-grade AI solutions on Oracle Cloud Infrastructure (OCI). The ideal candidate should have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks, along with hands-on experience building scalable AI applications on OCI. Key Responsibilities : - Design, develop, and deploy AI/ML and Generative AI solutions using Oracle Cloud Infrastructure (OCI). - Build enterprise AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures. - Develop intelligent AI agents using frameworks such as CrewAI, LangGraph, or AutoGen. - Implement scalable RAG pipelines using vector databases and embedding models. - Utilize OCI Generative AI and OCI Data Science services for model development, deployment, and lifecycle management. - Integrate AI solutions with enterprise applications through REST APIs and cloud-native services. - Optimize AI model performance, scalability, security, and operational efficiency. - Collaborate with data engineers, architects, and business stakeholders to deliver AI-driven business solutions. - Stay current with advancements in Generative AI, LLMs, and Oracle AI technologies. Required Skills : - 10-12 years of experience in AI/ML and software development. - Strong expertise in Oracle Cloud Infrastructure (OCI), including OCI Generative AI and OCI Data Science. - Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and enterprise AI solution development. - Experience with AI agent frameworks such as CrewAI, LangGraph, or AutoGen. - Strong proficiency in Python programming. - Experience with LangChain, TensorFlow, PyTorch, or similar AI/ML frameworks. - Hands-on experience with vector databases, embeddings, prompt engineering, and AI orchestration. - Experience integrating AI solutions using REST APIs and cloud-native architectures. - Strong understanding of MLOps, model deployment, monitoring, and AI governance. - Excellent analytical, problem-solving, and stakeholder communication skills. Education (Mandatory) : - Full-time B.E./B.Tech, MCA, M.Tech, MS, or M.Sc in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.