Generative AI Full-stack Engineer

Location: Kuala Lumpur Malaysia
Work Mode: Onsite

Employment type: Permanent

Oxydata Software Sdn Bhd is a Malaysian-owned IT company established in 2012 helping regional enterprises drive digital transformation through GenAI Services AI Training and IT Managed Services leveraging Microsoft and Google platforms open source and modern JavaScript frameworks. 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 Generative AI Full-stack Engineer to design and implement solutions across the entire stack for our AI recruitment platform.

Responsibilities

• Develop dashboards for recruiters and hiring managers focusing on UI/UX for filters analytics and candidate insights.
• Build and maintain FastAPI web services including API endpoints report generation and data management.
• Design Python-based AI processing pipelines for CV fetching AI scoring and intelligent candidate report generation.
• Implement end-to-end RAG pipelines with embeddings vector search semantic matching and grounding for candidate-job fit analysis.
• Architect database solutions using Supabase/PostgreSQL with pgvector for hybrid search capabilities.
• Integrate external systems such as ATS platforms Claude/OpenAI APIs workforce platforms and email delivery systems.

Requirements

Must-have:

• 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.
• Proficiency in Python (primary) and JavaScript/React.
• Experience with FastAPI for backend development and for frontend development.
• Experience with Supabase PostgreSQL and pgvector for database architecture.
• Hands-on experience with chunking strategies embeddings vector search and retrieval grounding.
• Experience with Git workflows REST API design testing & error handling cron job scheduling and cloud deployment.
• Experience integrating external systems and third-party services such as HR platforms LLM providers email/notification tools and other SaaS APIs.

Nice-to-have:

• Experience with LangChain or LlamaIndex for building knowledge-driven RAG systems.
• Experience with MCP (Model Context Protocol) or AI agent frameworks.
• Experience with CI/CD pipelines for automated testing and deployment.
• Experience with Docker for containerized development environments.

Why Join Us

• If youre excited to build real-world AI systems that operate end-to-end in production not just demos wed love to connect. Lets build something meaningful together.

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