Design and develop AI-powered recruitment platforms using React.js and FastAPI. Build and optimize RAG pipelines and agentic AI workflows for autonomous recruitment processes.
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 pipelines for automated testing and deployment
Experience with Docker for containerised development environments
Experience with AI-assisted development tools such as Cursor or GitHub Copilot
Why Join Us
Work directly on a live, production AI platform serving enterprise clients
Be part of an AI-first development culture where advanced tools are standard workflow
Collaborate within a small, senior team with high ownership and direct impact
Gain exposure to the full AI engineering stack from day one
Competitive compensation commensurate with experience
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