AI Engineer
AI Engineer in Kuala Lumpur designing, building, testing, and deploying AI-powered applications and workflow automations using Microsoft Copilot, Databricks, Python/SQL, and generative AI techniques (LLMs, RAG). Works with business and data teams to automate processes and enable data-driven decision-making.
- Compensation
- MYR 5.5K–MYR 8.2K / mo
- Location
- Kuala Lumpur
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 1+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Diploma or Bachelor's degree in Computer Science, IT, Data Science, AI, Software Engineering, or related field
- ~1–5 years of relevant experience in AI engineering, software development, data engineering, analytics, or automation (strong project experience also considered)
- Good working knowledge of Microsoft Copilot and Databricks with hands-on exposure to AI/data solutions
- Basic to intermediate programming skills in Python, SQL, or other relevant languages
- Understanding of AI/ML concepts, generative AI, LLMs, prompt engineering, and data processing
- Familiarity with APIs, data integration, cloud platforms, or workflow automation tools
- Strong analytical and problem-solving skills, attention to detail, willingness to learn new technologies
- Good communication and teamwork skills; able to translate business requirements into technical solutions
Full description
Salary: RM 5,500 – RM 8,200 per month
We are looking for a motivated and technically capable AI Engineer to support AI-driven initiatives. The ideal candidate will have hands-on experience or a strong foundation in Microsoft Copilot, Databricks, data engineering, and AI solution development.
You will work with business and technical teams to develop, implement, and optimise AI-powered solutions that improve operational efficiency, automate workflows, and enable data-driven decision-making.
Key Responsibilities
- AI Solution Development: Design, develop, test, and deploy AI-powered applications, automation solutions, and intelligent workflows to address business requirements.
- Microsoft Copilot: Build and enhance solutions using Microsoft Copilot and related tools, including prompt engineering, workflow automation, and integration with enterprise data sources.
- Databricks & Data Processing: Work with Databricks to prepare, transform, analyse, and manage datasets for AI applications, analytics, and machine learning use cases.
- Generative AI & LLMs: Explore and implement generative AI capabilities, large language models (LLMs), retrieval-augmented generation (RAG), and AI-assisted knowledge retrieval where applicable.
- Data Integration: Integrate AI solutions with relevant data platforms, APIs, and enterprise systems to support business processes.
- Testing & Optimisation: Conduct functional testing, validate AI-generated outputs, troubleshoot issues, and improve solution accuracy, performance, and reliability.
- Responsible AI & Governance: Apply appropriate data privacy, information security, access control, and responsible AI practices when developing and deploying solutions.
- Documentation & Collaboration: Prepare technical documentation, share findings, and collaborate with business users, data engineers, and other stakeholders to deliver effective AI solutions.
Requirements
- Diploma or Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or a related field.
- Approximately 1–5 years of relevant experience in AI engineering, software development, data engineering, analytics, or automation. Candidates with strong relevant project experience may also be considered.
- Good working knowledge of Microsoft Copilot and Databricks, with hands-on exposure to developing or supporting AI and data-related solutions.