AI Engineer (Up to 12k)

Randstad Malaysia; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Randstad Malaysia is seeking a skilled AI/ML engineer to build an AI-powered intent generation tool and a semantic similarity pipeline. You will integrate these features into an existing knowledge base platform and support CS teams with sample user queries.

The role involves implementing review workflows, production gating, and robust task recovery, plus evaluating Voice AI for potential chatbot integration.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, or IT.
• Experience with AI-powered intent generation and RAG workflows preferred.
• Proficiency in Python and modern ML tooling required.

Responsibilities

• Build an AI-powered intent generation tool that extracts intents and answers from PRDs, and generates sample user queries for CS teams.
• Develop an intent similarity detection pipeline using semantic search for knowledge base quality control.
• Enhance the intent management platform with review workflows, production gating, and multi-worker task recovery.
• Research Voice AI options for potential chatbot integration and system architecture compatibility.

Skills

Agentic frameworks

LLM architectures

Programming

Vector databases

Education

Bachelor's degree in CS/AI/IT

Tools

LangChain

LangGraph

CrewAI

Python

Docker

REST APIs

Pinecone

Qdrant

Chroma

Milvus

Job description

Tasks

• Build an AI-powered intent generation tool that extracts intents and answers from PRDs, and generates sample user queries to help the CS team build RAG knowledge bases more efficiently.


• Develop an intent similarity detection pipeline using semantic search to identify duplicate or highly similar intents, and integrated it into the intent generation workflow for knowledge base quality control.


• Enhance the intent management platform by implementing review and approval workflows, production gating, distributed task persistence, and multi-worker task recovery.


• Researche Voice AI for potential integration into the existing chatbot, evaluating speech recognition, text-to-speech, and system architecture.

Key Skills Required

• Agentic Frameworks: Hands-on experience with frameworks like LangChain, LangGraph, or, CrewAI


• LLM Architectures & Tool Use: Expertise in prompt engineering, fine-tuning, function calling/API integration, and evaluation frameworks for LLM-driven agents.


• Programming & Systems: Advanced Python skills; familiarity with microservices, Docker, REST APIs, and event-driven architectures.


• Vector Databases & Storage: Proficiency with vector stores (e.g., Pinecone, Qdrant, Chroma, Milvus) for memory persistence and context retrieval.

experience

4 years

skills

Python, SQL, Langchain, LangGraph

qualifications

Bachelors in Computer Science, Data Science, Artificial Intelligence, or Information Technology

education

Bachelor Degree