Artificial Intelligence, Senior Executive

MR.DIY Group (M) Berhad; Seri Kembangan; Hybrid; MYR 120,000 - 180,000; Full time

Job summary

MR.DIY Group (M) Berhad is seeking a hands-on AI solutions professional to design and deploy AI-powered chatbots, AI agents and intelligent business applications that improve operations and decision-making.

You will develop LLMs, RAG, AI orchestration frameworks, and integrate data sources to enable intelligent workflows while ensuring scalability, reliability and measurable business value.

Qualifications

• Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, Business Analytics, IT or related fields.
• 3–5 years of relevant experience in AI application development, data science, software engineering or related fields.
• Hands-on experience developing AI applications, intelligent chatbots, ML models or API-based solutions.
• Experience in retail, supply chain, inventory management or operational analytics is a plus.

Responsibilities

• Design, develop, deploy and maintain AI-powered chatbots, AI agents and intelligent business applications.
• Develop and integrate LLMs, RAG, AI orchestration frameworks, APIs and data sources for intelligent workflows.
• Build AI applications capable of retrieving, analyzing and interpreting structured and unstructured data.

Skills

Python

SQL

LLMs

AI orchestration

Education

Bachelor's degree in AI/CS/DS

Tools

REST APIs

Cloud platforms

MLOps

Job description

Responsible for identifying business challenges and designing, developing, deploying and maintaining AI-driven solutions, intelligent chatbots, AI agents and machine learning applications to improve business operations, decision‑making and operational efficiency.

The role requires a strong combination of business understanding, analytical thinking and hands‑on AI development capabilities, with the ability to translate business problems into practical, scalable and reliable AI solutions.

The successful candidate is expected to independently understand business requirements, recommend suitable technical approaches and deliver AI solutions that generate measurable business value.

Key Responsibilities:

Artificial Intelligence & Intelligent Solution Development

• Design, develop, deploy and maintain AI-powered chatbots, AI agents and intelligent business applications to address operational and business challenges.

• Develop and integrate LLMs, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, APIs and business data sources to enable intelligent workflows.

• Build AI applications capable of retrieving, analysing and interpreting structured and unstructured business information.

• Develop and maintain machine learning models for forecasting, classification, anomaly detection, recommendations and other business applications.

• Evaluate and optimise AI solutions for accuracy, reliability, performance, security and business effectiveness.

• Ensure AI solutions are properly tested, documented, monitored and maintained.

Business Analysis & AI Solution Development

• Engage with business stakeholders to understand operational processes, business challenges and improvement opportunities.

• Analyse business requirements, identify root causes and recommend suitable AI-driven or automation solutions.

• Translate business problems into clear technical requirements, solution designs and implementation plans.

• Evaluate the feasibility, expected benefits, limitations and risks of proposed AI solutions.

• Apply business logic, operational knowledge and analytical reasoning to ensure AI solutions generate meaningful and actionable outputs.

• Validate developed solutions with business users and assess their effectiveness against business objectives.

• Proactively identify opportunities to improve existing business processes through AI, machine learning and automation.

Process & Workflow Automation

• Develop and maintain automated workflows, scripts and API integrations to streamline business processes and reduce manual activities.

• Integrate AI agents and machine learning models into existing workflows where appropriate.

• Support automation initiatives involving data extraction, reporting, information processing and operational activities.

• Monitor, troubleshoot and enhance automation solutions to ensure reliability, efficiency and scalability.

• Maintain technical documentation and support continuous improvement of existing automation processes.

Requirements:

• Bachelor's Degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, Business Analytics, Information Technology or related disciplines.

• Preferably 3–5 years of relevant experience in AI application development, data science, software engineering, business analytics or related technical fields.

• Hands‑on experience developing AI applications, intelligent chatbots, machine learning models or API-based solutions.

• Experience in retail, supply chain, inventory management, business intelligence or operational analytics is an added advantage.

Technical Requirements:

• Strong proficiency in Python and SQL, including data processing, application development and database integration.

• Familiarity with LLMs, AI agents, RAG, prompt engineering and AI orchestration frameworks.

• Understanding of vector databases, embeddings, semantic search and information retrieval. Experience with REST APIs, backend application development and integration with business systems.

• Knowledge of machine learning techniques, model evaluation and deployment.

• Familiarity with application testing, monitoring, security and deployment practices.

• Exposure to cloud platforms, AI development frameworks or MLOps practices is an added advantage.

Key Competencies:

• Strong business acumen with the ability to understand business operations, challenges and decision‑making processes.

• Strong analytical and problem‑solving skills, with the ability to identify root causes and recommend practical solutions.

• Ability to independently translate business requirements into technical solutions and deliver measurable business outcomes.

• Strong hands‑on AI development and technical troubleshooting capabilities.

• Ability to evaluate the business feasibility, effectiveness and limitations of AI solutions.

• Good communication skills and ability to engage effectively with both technical and non‑technical stakeholders.

• Proactive, resourceful and solution‑oriented, with a willingness to explore new technologies.

• Ability to manage multiple projects, maintain documentation and deliver within agreed timelines.

• Willingness to guide junior team members and share technical knowledge when required.