AI Engineer - Remote

AI Engineer (GenAI/RAG Platform) Location: Petaling Jaya, Selangor, Malaysia Work Mode: Remote Employment type: Permanent Oxydata Software Sdn Bhd established since 2012, helping regional enterprises drive digital transformation through Agentic AI Services, AI Automation & Integration, Data Engineering, AI Training, and IT Managed Services. We are a lean, high-impact team where engineers work directly on cutting-edge AI products serving enterprise clients across Malaysia and the region. We are seeking an experienced AI Engineer (GenAI/RAG Platform) to build and deploy our AI-powered recruitment platform, OPAL. Responsibilities Design, develop, and maintain React.js dashboards for recruiters and hiring managers. Implement backend services using FastAPI, including REST API endpoints, report generation, data management, and cron job scheduling. Build and optimize Python-based AI processing pipelines for CV ingestion, AI scoring, and candidate report generation. Develop and maintain RAG pipelines, including chunking, embeddings, vector search, reranking, and retrieval grounding. Integrate and deploy agentic AI workflows using tools such as LangGraph, CrewAI, or N8N for autonomous recruitment processes. Leverage Supabase, PostgreSQL, and pgvector for hybrid keyword and semantic search functionalities. Integrate external APIs, including ATS platforms, AI APIs (Claude, OpenAI), and email delivery systems. Apply DevOps best practices for version control, API design, testing, deployment, and error handling. Requirements Must-have: Bachelor's degree in Computer Science, Software Engineering, AI, or a related field Open to all nationalities; full-time employment and eligible to work in Malaysia (remote, onsite, or hybrid) 1–4 years building production GenAI/RAG systems with demonstrated ability to ship complete applications from UI to database to AI pipeline Proficiency in Python (primary language) and JavaScript/React Experience building and deploying FastAPI backend services and React.js dashboards Hands-on experience with Supabase, PostgreSQL, and pgvector for hybrid keyword and semantic search Experience integrating and using AI APIs (Claude API, OpenAI API), embeddings, and prompt engineering Real-world experience with RAG pipelines: chunking, embeddings, vector search (pgvector, Pinecone, Weaviate, or similar), reranking, and retrieval grounding Hands-on experience with at least one of LangGraph, CrewAI, or N8N in a production or near-production context for agentic AI workflows Experience with DevOps practices: Git, REST API design, testing, error handling, cron job scheduling, and cloud/VPS deployment Proven track record integrating external APIs Nice-to-have: Experience with LangChain or LlamaIndex for knowledge-based RAG systems Familiarity with MCP (Model Context Protocol) or additional AI agent frameworks Experience with GPT Vision or multimodal AI Experience setting up CI/CD…