AI Engineer — Agentic & LLM Systems (Mid/Senior)

Randstad Malaysia

Kuala Lumpur

On-site

MYR 120,000 - 180,000

Full time

14 days+

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Job summary

Randstad Malaysia is hiring for both Mid-Level and Senior AI Engineers to design, build, and deploy intelligent AI systems with a focus on Agentic AI and LLM-driven architectures. You will handle full lifecycle from architecture to Docker-based deployment and monitoring.

Mid-level applicants should have at least 2+ years of hands-on AI/LLM development; seniors 4+ years with leadership in AI system design and production deployments. Claude AI experience is a plus.

Qualifications

  • 2+ years hands-on experience building and deploying AI/LLM apps.
  • 4+ years software engineering with leadership in AI system design and production deployments.
  • Strong Python and Docker proficiency.
  • Experience with Claude AI, agentic AI, and chatbot architectures.
  • Experience delivering AI projects end-to-end from design to deployment.

Responsibilities

  • Develop, test, and deploy AI/LLM applications using Python.
  • Build end-to-end data pipelines and agentic workflows.
  • Containerize applications with Docker and support production deployments.
  • Lead design and implementation of end-to-end process flows for AI systems.
  • Own deployment, hosting, and monitoring for large language models.
  • Provide technical leadership, code reviews, and ensure reliability and performance.

Skills

Python
Docker
Claude AI
Agentic AI
LLMs
Chatbot architectures

Tools

LangChain
LlamaIndex
AutoGen
CrewAI

Job description

Randstad Malaysia is hiring for both Mid-Level and Senior AI Engineers to design, build, and deploy intelligent AI systems with a focus on Agentic AI and LLM-driven architectures. You will handle full lifecycle from architecture to Docker-based deployment and monitoring.

Mid-level applicants should have at least 2+ years of hands-on AI/LLM development; seniors 4+ years with leadership in AI system design and production deployments. Claude AI experience is a plus.

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