Job Openings AI Engineer (IN)
About The Job AI Engineer (IN)
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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