Gen AI Engineer (IN)

Overview

Role: Generative AI Engineer (IN)

Location: Petaling Jaya, Malaysia

Work Mode: Onsite | Job Type: Full-time

Job Ref: 5WYV375R

Generative AI Full-Stack Engineer

We're building an end-to-end AI recruitment platform at Oxydata, and we need one engineer who can own the entire stack—from React dashboards to RAG pipelines to production deployment.

What You'll Build

You'll be the architect of our AI recruitment ecosystem, handling:

• Frontend Development: React.js dashboards for recruiters and hiring managers with UI/UX for filters, analytics, and candidate insights
• Backend Services: FastAPI web services with API endpoints, report generation, and data management
• AI Processing Pipeline: Python-based cron jobs that fetch CVs, execute AI scoring via Claude/GPT, and generate intelligent candidate reports
• RAG Implementation: End-to-end RAG pipelines with embeddings, vector search, semantic matching, and grounding for candidate-job fit analysis
• Database Architecture: Supabase/PostgreSQL with pgvector for hybrid search (keyword + semantic)
• External Integrations: ATS systems (Manatal, Zoho Recruit), Claude/OpenAI APIs, workforce platforms, and email delivery systems
  
  
  

• Education: Bachelor's in CS, Software Engineering, AI, or related field
• Experience: 1–4 years building production GenAI/RAG systems with demonstrated ability to build complete applications from UI to database to AI processing
• Tech Stack: Python (primary) + JavaScript/React
• FastAPI (backend), React.js (frontend)
• Supabase, PostgreSQL, pgvector (vector storage and hybrid search)
• Claude API, OpenAI API, embeddings, prompt engineering
• RAG Expertise: Real-world experience with chunking, embeddings, vector search (pgvector, Pinecone, Weaviate, or similar), reranking, and retrieval grounding
• DevOps & Deployment: Git, REST API design, testing, error handling, cron job scheduling, and cloud platform deployment experience (Render, Vercel, Railway, AWS, GCP, or similar)
• API Integration: Proven track record integrating external APIs (ATS systems, LLM providers, email services)
  
  
  

• LangChain or LlamaIndex: Experience building knowledge-based RAG systems for future recruitment intelligence features (document search, historical candidate analysis, interview insights)
• MCP (Model Context Protocol) or AI agent frameworks
• CI/CD experience for automated testing and deployment pipelines
• Docker for containerized development environments
  
  
  

Ready to make AI work for real businesses? Apply Now: http://www.careers-page.com/oxy/job/4RR955X7

Explore more roles: https://oxydata.my/jobs/

#OxydataSoftware #GenAI #SoftwareEngineering #AzureAI #RAG #MalaysiaTech #TechHiring2026 #AIJobs