About the job Gen AI Engineer (MY)
Role: Generative AI Full-stack Engineer (MY)
Location: Ara Damansara, Petaling Jaya
Work Mode: Onsite | Job Type: Full-time
Job Ref: 4RR955X7 | Job Id: 3419430
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
Must-Haves
- Bachelors degree in Computer Science, Software Engineering, AI, or related field
- 1 to 3 years of experience building production-grade GenAI/RAG systems. Proven ability to build complete applications — from UI to database to AI processing.
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Core Tech Stack
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Python (primary) + JavaScript/React
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FastAPI (backend), React.js (frontend)
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Supabase, PostgreSQL, pgvector
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Claude API, OpenAI API, embeddings, prompt engineering
Hands-on experience with:
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Chunking strategies
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Embeddings
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Vector search (pgvector, Pinecone, Weaviate, or similar)
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Reranking
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Retrieval grounding
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Git workflows
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REST API design
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Testing & error handling
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Cron job scheduling
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Cloud deployment (Render, Vercel, Railway, AWS, GCP, or similar)
Experience integrating external systems and third-party services such as HR platforms, LLM providers, email/notification tools, and other SaaS APIs -
Python (primary) + JavaScript/React
Nice-to-Haves
- LangChain or LlamaIndex for building knowledge-driven RAG systems
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Experience with MCP (Model Context Protocol) or AI agent frameworks
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CI/CD pipelines for automated testing and deployment
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Docker for containerized development environments
If you're excited to build real-world AI systems that operate end-to-end in production — not just demos — we'd love to connect. Lets build something meaningful.
Apply Now
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/
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