Job Description: Generative AI Engineer Recruitment Systems

Location: Malaysia (Hybrid)

Type: Full-time

Company: Oxydata Software

Role Overview

We are looking for a skilled Generative AI Engineer to help build the next generation of AI-powered recruitment this role you will develop and enhance our recruitment platform integrate seamlessly with external ATS systems and build intelligent features powered by large language models (LLMs) and vector search. You will work closely with product engineering and operations teams to deliver fast accurate and reliable AI capabilities used by recruiters daily.

This role requires a strong engineering mindset hands-on experience with LLM frameworks and the ability to translate real recruiter workflows into practical scalable GenAI solutions.

Key Responsibilities

• Develop and maintain GenAI-powered applications for CVJD matching scoring summarization and recruiter workflows.
• Build and enhance integration pipelines with ATS platforms (e.g. Manatal) using APIs webhooks and MCP (Model Context Protocol).
• Implement automation workflows using Make Zapier or similar tools to sync data trigger scoring and maintain system reliability.
• Design and optimize RAG pipelines using PostgreSQL and pgvector for high-accuracy semantic search across CVs jobs and recruitment data.
• Build backend services and APIs using Python/ for LLM inference scoring logic and system orchestration.
• Work with front-end engineers (or handle full-stack tasks) using React / to create dashboards scoring views and recruiter-facing tools.
• Containerize deploy and monitor GenAI services using Docker cloud-native services and CI/CD pipelines.
• Maintain evaluation datasets and improve accuracy speed and reliability of AI features.
• Collaborate cross-functionally to understand recruiter workflow needs and convert them into working AI features.

Requirements

• Bachelors degree in Computer Science AI Software Engineering or related field with 1 or 2 years experience
• Strong experience with Python and GenAI libraries such as:
• Hugging Face Transformers
• LangChain
• OpenAI API / Azure OpenAI
• LlamaIndex
• Hands-on experience implementing:
• Prompt engineering
• RAG pipelines
• Vector search using PostgreSQL pgvector
• Experience integrating third-party SaaS systems via REST APIs webhooks MCP or similar protocols.
• Experience in React / or willingness to handle basic full-stack tasks.
• Familiarity with Make Zapier or n8n for automation and data synchronization.
• Experience deploying applications using Docker cloud services and CI/CD workflows.
• Good understanding of software engineering best practicesincluding Git testing and observability.
• Strong problem-solving and communication skills with the ability to turn business needs into working AI features.

Nice to Have

• Experience with ATS systems (e.g. Manatal Workday Greenhouse).
• Exposure to Kubernetes serverless deployments or GPU-based inference optimization.
• Knowledge of TensorFlow or PyTorch (for experimentationnot mandatory).
• Familiarity with LLM evaluation frameworks and prompt-performance monitoring.

Why Join Us

• Work on a real AI product that directly improves the speed and quality of recruitment.
• Build advanced GenAI and RAG features used by recruiters daily.
• Opportunity to shape product architecture from the ground up.
• Collaborate with a small agile team where your decisions have direct impact.
• Fast-growing environment with strong focus on innovation and AI-driven solutions.