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Gen AI Full-Stack Engineer

Oxydata Software

Job Location:

Petaling Jaya - Malaysia

Monthly Salary: Not provided by the employer

Posted: 23 June 2026 (30+ days ago)

Application Deadline: 20 September 2026

Vacancies: 1 Vacancy

Job Summary

Position: Gen AI Full-Stack Engineer
Location: Petaling Jaya Malaysia
Work Mode: Remote / Onsite / Hybrid
Full-time Employment
Nationality: Malaysian

About Oxydata

Oxydata Software Sdn Bhd is a Malaysia Digital-certified AI and data engineering company founded in 2006. We build production AI systems for Enterprise clients and SME. Our flagship product OPAL is an AI-powered recruitment high performance screening platform built on RAG pipelines LLM scoring and vector search.

The Role

We are looking for an AI Engineer who can own end-to-end delivery across our AI recruitment platform from React dashboards to RAG pipelines to production deployment on our self-hosted infrastructure. You will work directly with our founding team using AI-assisted development tools (Cursor Claude) as standard workflow.

Key Responsibilities

Build dashboards for recruiters and hiring managers including UI/UX for filters analytics and candidate insights
Develop FastAPI web services with REST API endpoints report generation data management and cron job scheduling
Build and maintain Python-based AI processing pipelines that fetch CVs execute AI scoring via Claude/GPT and generate candidate reports; includes prompt engineering rubric generation and scoring evaluation
Implement end-to-end RAG pipelines with chunking embeddings vector search and retrieval grounding; semantic candidate-job fit analysis using pgvector hybrid search
Build and integrate AI agents using LangGraph CrewAI and N8N for autonomous recruitment workflows including GPT Vision integration tool-calling memory management and multi-step orchestration
Manage Supabase/PostgreSQL with pgvector for hybrid keyword and semantic search; integrate with ATS platforms (Manatal Zoho Recruit) Claude/OpenAI APIs and email delivery systems

Must-Haves

Bachelors degree in Computer Science Software Engineering AI or related field
14 years building production GenAI/RAG systems with a demonstrated ability to ship complete applications from UI to database to AI pipeline
Python (primary) and JavaScript/React
FastAPI (backend) and (frontend)
Supabase PostgreSQL pgvector
Claude API OpenAI API embeddings and prompt engineering
Real-world RAG experience: chunking embeddings vector search (pgvector Pinecone Weaviate or similar) reranking and retrieval grounding
Hands-on agentic AI experience with at least one of LangGraph CrewAI or N8N in a production or near-production context
Git REST API design testing error handling cron job scheduling and cloud/VPS deployment
Proven track record integrating external APIs

Nice-to-Haves