AI Engineer

Oxydata Software; Selangor; Hybrid; MYR 70,000 - 90,000; Full time

Job summary

A leading tech company based in Malaysia is seeking a Generative AI Engineer to develop innovative AI-powered recruitment solutions. The ideal candidate will possess a bachelor's degree in a related field and have 1–2 years of experience with Python and GenAI libraries. Responsibilities include building applications for CV matching, enhancing ATS integrations, and automating workflows. This is a full-time position in a hybrid work environment, offering a great opportunity to shape product architecture and collaborate with an agile team focused on innovation.

Benefits

Work on a real AI product

Opportunity to shape product architecture

Collaborate with a small, agile team

Qualifications

• 1–2 years of experience in a relevant field.
• Strong problem-solving and communication skills.
• Good understanding of software engineering best practices.

Responsibilities

• Develop and maintain GenAI-powered applications for CV–JD matching.
• Build and enhance integration pipelines with ATS platforms using APIs.
• Implement automation workflows using tools like Make and Zapier.
• Design and optimise RAG pipelines for accurate semantic search.
• Build backend services and APIs for LLM inference and scoring logic.
• Work with front-end engineers on dashboards and recruiter tools.
• Monitor GenAI services using Docker and CI/CD pipelines.

Skills

Python

GenAI libraries (Hugging Face Transformers, LangChain, OpenAI API, Azure OpenAI, LlamaIndex)

Prompt engineering

RAG pipelines

Vector search using PostgreSQL + pgvector

React / Next.js

Automation tools (Make, Zapier, n8n)

Education

Bachelor's degree in Computer Science, AI, Software Engineering, or related field

Tools

Docker

PostgreSQL

Job description

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 solutions. In 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 CV–JD 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 optimise RAG pipelines using PostgreSQL and pgvector for high‑accuracy semantic search across CVs, jobs, and recruitment data.
• Build backend services and APIs using Python/Node.js for LLM inference, scoring logic, and system orchestration.
• Work with front‑end engineers (or handle full‑stack tasks) using React / Next.js to create dashboards, scoring views, and recruiter‑facing tools.
• Containerise, 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 1–2 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 / Next.js 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 practices—including 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 optimisation.
• Knowledge of TensorFlow or PyTorch (for experimentation—not 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.