AI Engineer (MY)

Oxydata Software Sdn Bhd; Petaling Jaya; Presencial; MYR 112.000 - 167.000; Jornada completa

Descripción de la vacante

Oxydata Software Sdn Bhd, established since 2012, helps regional enterprises drive digital transformation with AI services. We are seeking an AI Engineer (GenAI/RAG Systems) to build recruitment solutions for enterprise clients in Malaysia.

You will develop React dashboards, FastAPI backends, Python pipelines, and end-to-end RAG workflows with embeddings and vector search, integrate with ATS platforms, and optimise for production delivery.

Formación

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

Responsabilidades

• Develop React dashboards and UI 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.

Conocimientos

Python

React.js

FastAPI

PostgreSQL

pgvector

Embeddings

REST API

Git

Docker

Cloud deployment

Prompt engineering

RAG systems

AI pipelines

LangGraph

N8N

OpenAI API

Claude API

API integration

Educación

Bachelor's degree

Herramientas

Supabase

PostgreSQL

pgvector

Pinecone

Weaviate

LangChain

LlamaIndex

Docker

Claude API

OpenAI API

Descripción del empleo

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.
• 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.
• 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.