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.
Job Types: Full-time, Permanent
Pay: RM10,000.00 - RM15,000.00 per month
Benefits:
Cell phone reimbursement
Flexible schedule
Maternity leave
Opportunities for promotion
Professional development
Work Location: Remote
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