AI Automation Engineer

1 day ago

Kuala Lumpur, Kuala Lumpur, Malaysia MHA Consultancy Services Sdn Bhd Full time 120,000 - 240,000 per year
About the Role

We are seeking an experienced AI Engineer / Architect to lead the design and implementation of advanced AI-driven automation and conversational systems.

This is a strategic and hands-on role involving prompt engineering, data orchestration, chatbot optimization, and workflow automation to enhance customer experience and business efficiency.

You will collaborate with cross-functional teams to identify opportunities where AI can automate, predict, and optimize operations — from data analytics to customer engagement.


Key Responsibilities
  • AI Architecture & Strategy: Design end-to-end AI solutions that integrate automation, chatbot systems, and data analytics pipelines.
  • Prompt & Model Engineering: Build, test, and optimize large language model (LLM) prompts for specific business use cases (customer service, internal automation, content generation, etc.).
  • Automation Development: Implement and scale automation workflows using APIs, Python scripts, or RPA tools (Zapier, Make, UiPath, or equivalent).
  • Chatbot Optimization: Design and deploy intelligent chatbot systems (using OpenAI API, LangChain, Rasa, Dialogflow, or similar frameworks).
  • Data Integration: Connect internal databases, CRMs, and communication tools to enhance AI-driven decision-making.
  • Experimentation & Evaluation: Conduct A/B tests, fine-tuning, and model evaluation to improve output accuracy, latency, and consistency.
  • Cross-Functional Collaboration: Partner with product, data, and engineering teams to identify AI opportunities and deploy scalable solutions.
  • Compliance & Security: Ensure responsible AI use, data protection, and ethical output across all deployments.

Requirements
  • Degree or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field.
  • 3–7 years of experience in AI development, automation engineering, or machine learning system design.
  • Strong programming skills in Python, with hands-on experience in APIs, JSON, and automation scripting.
  • Familiar with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, or Anthropic SDK.
  • Proven track record of building chatbots or automation systems integrated with enterprise platforms.
  • Strong understanding of data pipelines, vector databases, or knowledge embedding techniques.
  • Experience with cloud environments (AWS, Azure, GCP) is a plus.
  • Analytical mindset with strong problem-solving and experimentation skills.

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