jobs in Oxydata Software Sdn Bhd

全职 AI Engineer (MY) 工作, 薪水, Oxydata Software Selangor 公司招聘中 - Ricebowl

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工作地点

  • Petaling Jaya Selangor Malaysia

职位描述

岗位职责

Job Openings AI Engineer (MY)

About The Job AI Engineer (MY)

AI Engineer (GenAI/RAG Systems)

Location: Petaling Jaya, Selangor, Malaysia

Work Mode: Onsite

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 Systems) to build and deploy next-generation AI recruitment solutions, delivering end-to-end features across GenAI and Retrieval-Augmented Generation (RAG) systems for enterprise clients.

Responsibilities

  • Develop React.js dashboards and UI/UX features for recruiters and hiring managers, including filters, analytics, and candidate insights.
  • Build and maintain backend services and REST API endpoints using FastAPI.
  • Design and implement Python-based pipelines for CV processing, AI scoring, and candidate report generation.
  • Work on prompt engineering, rubric generation, and scoring evaluation frameworks for AI-driven recruitment.
  • Implement end-to-end RAG pipelines with chunking, embeddings, vector search, reranking, and retrieval grounding.
  • Develop semantic candidate-job fit analysis using pgvector hybrid search.
  • Build and integrate AI agents using frameworks such as LangGraph, CrewAI, or N8N for autonomous recruitment workflows.
  • Integrate GPT Vision for document parsing and multimodal candidate processing.
  • Manage tool-calling, memory management, and multi-step agent orchestration.
  • Work with Supabase/PostgreSQL and pgvector for hybrid keyword and semantic search.
  • Integrate with ATS platforms, Claude/OpenAI APIs, and email delivery systems.

Requirements

Must-have:

  • Bachelor’s degree in Computer Science, Software Engineering, AI, or a related field.
  • Malaysian citizenship required.
  • 1–4 years of experience building production GenAI/RAG systems.
  • Demonstrated ability to ship complete applications from UI to database to AI pipeline.
  • Strong Python skills as the primary development language.
  • Working knowledge of JavaScript and React.
  • Experience building backend services using FastAPI.
  • Experience developing frontend applications using React.js.
  • Hands-on experience with Supabase, PostgreSQL, and pgvector.
  • Experience working with Claude API, OpenAI API, embeddings, and prompt engineering.
  • Real-world RAG experience, including chunking, embeddings, vector search, reranking, and retrieval grounding.
  • Experience with vector databases or search tools such as pgvector, Pinecone, Weaviate, or similar.
  • Hands-on experience with at least one agentic AI framework such as LangGraph, CrewAI, or N8N in a production or near-production context.
  • Strong understanding of 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.
  • Experience with MCP (Model Context Protocol) or additional AI agent frameworks.
  • Experience with GPT Vision or multimodal AI.
  • Experience building CI/CD pipelines for automated testing and deployment.
  • Experience using Docker for containerised development environments.
  • Experience with AI-assisted development tools such as Cursor or GitHub Copilot.

Education

  • Bachelor’s degree in Computer Science, Software Engineering, AI, or a related field.

Why Join Us

  • Work directly on a live, production AI platform with real enterprise clients.
  • AI-first development culture where tools like Cursor and Claude are standard in your workflow.
  • Be part of a small, senior team with minimal bureaucracy, high ownership, and direct impact.
  • Gain exposure to the full AI engineering stack from day one.
  • Competitive compensation commensurate with your experience.

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