AI Specialist – OCI Gen AI Log Analytics
Who We Are
DYAU PTE. LTD. is a Singapore-based Artificial Intelligence company specializing in Generative AI, AI automation, and enterprise digital transformation. We help organizations accelerate innovation by designing and deploying intelligent AI solutions tailored to their business needs.
Our expertise includes AI agents, large language model (LLM) applications, Retrieval-Augmented Generation (RAG), workflow automation, data engineering, and cloud-based AI solutions. We work with businesses across multiple industries to streamline operations, improve decision-making, and enhance customer experiences through scalable and secure AI technologies.
At DYAU, we are committed to delivering practical, business-focused AI solutions that enable organizations to improve efficiency, reduce operational costs, and unlock new opportunities for growth.
Job Description
Role Overview
We are seeking an experienced AI Specialist to architect, deploy, and scale enterprise-grade AI agents and retrieval-augmented generation (RAG) systems on Oracle Cloud Infrastructure (OCI). In this role, you will lead the end-to-end implementation of an intelligent log analytics and security pipeline—building multi-agent workflows that automate log parsing, anomaly detection, threat intelligence, and root-cause correlation.
Key Responsibilities
Agentic System Architecture: Design, test, and deploy production-ready multi-agent workflows using OCI Generative AI Agents to orchestrate operations across key domain areas (Log Parsing, Anomaly Detection, Threat IQ, Investigation, Correlation, and Executive Reporting).
Vector Database & RAG Implementation: Architect and optimize high-throughput vector search capabilities using Oracle Database 23ai, implementing efficient indexing, chunking, and retrieval pipelines for AI-driven log querying.
OCI Ecosystem Integration: Seamlessly integrate AI pipelines and agentic workloads with native OCI services, including Log Analytics, Streaming, and OCI Cloud Guard.
Protocol & Tool Setup: Configure and maintain Model Context Protocol (MCP) servers and tool execution layers utilizing Oracle Database Tools and SQLcl for secure agentic database access.
Performance Tuning: Optimize prompt engineering, agent orchestration, retrieval latency, and context window management to ensure robust real-time incident analysis.
Required Skills & Qualifications
Technical Expertise
Generative AI & Agents: 3+ years of experience working with Large Language Models (LLMs), multi-agent frameworks, prompt engineering, and agentic tool invocation.
Oracle AI Ecosystem: Proven hands-on experience with OCI Generative AI Agents and Oracle Database 23ai Vector Search.
Integrations & Protocols: Proficient with Model Context Protocol (MCP), RESTful API development, Python, and advanced SQL.
Machine Learning & RAG: Strong theoretical and practical foundation in anomaly detection algorithms, embedding models, and Vector Store implementation for RAG architectures.
Cloud & Security Native: Experience working with OCI security and observability frameworks (OCI Log Analytics, Cloud Guard, Streaming/Kafka).