AI Engineer

AI Engineer

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