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.