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

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

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

About the Role

We are looking to hire both a Mid‑Level AI Engineer and a Senior AI Engineer to join our client's growing technical team.

In these roles, you will design, build, and deploy intelligent AI systems, with a core focus on Agentic AI, LLM‑driven architectures, and conversational AI (including Claude AI). You will handle the full lifecycle of AI applications, from defining system architecture and complete process flows to Docker‑based deployment and performance monitoring.

Note: Responsibilities and architectural ownership will scale based on the level (Mid vs. Senior) you are hired into.

Key Responsibilities

For Mid-Level AI Engineers:

• Development: Write clean, efficient, and scalable Python code to build LLM applications, custom agents, and chatbot features.

• Process Flow Integration: Help implement end‑to‑end data pipelines, vector search, and agentic workflows under guided architecture.

• Deployment & Containerization: Use Docker to containerize applications and assist with production deployments.

For Senior AI Engineers:

• System Architecture: Lead the design and implementation of end‑to‑end process flows, system architectures, and multi‑agent AI ecosystems.

• Production Deployment: Own the deployment, hosting, and monitoring pipelines for large language models and complex agentic systems.

• Technical Leadership: Make core technical decisions, review code, and ensure high system reliability, low latency, and scalable performance.

Requirements

• Experience:

  • Mid‑Level Role: Minimum 2+ years of hands‑on experience developing and deploying AI/LLM applications.

  • Senior Role: 4+ years of professional experience in software engineering, with a strong track record of leading AI system design and production deployments.

• Core Tech Stack: Advanced proficiency in Python and solid hands‑on experience with Docker.

• AI & LLM Domain: Proven experience working with LLMs (e.g., Claude AI), Agentic AI concepts, and chatbot architectures.

• End‑to‑End Delivery: Demonstrated experience taking AI projects across the entire process flow—from design to production deployment.

Nice to Have

• Experience with orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI).

• Hands‑on experience with cloud infrastructure (AWS, GCP, or Azure).

• Experience with vector databases and model fine‑tuning techniques.