AI Engineer
Salary not listed • Kuala Lumpur, Kuala Lumpur, Malaysia • Full-time
Posted 1mo ago
Job Location
Kuala Lumpur, Kuala Lumpur, Malaysia
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Artefact is seeking an AI Engineer to join their team in Kuala Lumpur, Malaysia. This role involves designing, developing, and deploying AI and Generative AI solutions for clients, working within multidisciplinary teams and collaborating with stakeholders. You will transform business challenges into practical, scalable AI solutions, leveraging cutting-edge technologies to drive measurable business impact.
Responsibilities
- Design, prototype, test, and deploy AI/ML and Generative AI solutions from PoCs to production.
- Develop solutions leveraging LLMs, RAG, embeddings, prompt engineering, AI agents, and other GenAI capabilities.
- Develop and integrate machine learning and deep learning models using relevant frameworks.
- Build and deploy solutions using GCP, Azure, or AWS, including cloud-native AI services and data pipelines.
- Contribute to the architecture and development of scalable, secure, and maintainable AI solutions.
- Support deployment, monitoring, optimization, and integration of AI solutions into client environments.
- Collaborate with business and technology stakeholders to understand requirements and translate them into technical solutions.
- Stay updated on AI/ML, Generative AI, LLMs, MLOps/LLMOps, and cloud technologies, applying them to business use cases.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, AI/Machine Learning, or a related technical field.
- Professional experience in AI Engineering, Machine Learning, Data Science, Software Engineering, or a related technical role.
- Strong programming skills in Python and familiarity with SQL.
- Hands-on experience developing Machine Learning and/or Generative AI solutions.
- Experience with LLM-related technologies such as RAG, embeddings, prompt engineering, vector databases, or AI agents.
- Familiarity with ML/AI frameworks and libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent.
- Experience with at least one major cloud platform: GCP, Azure, or AWS.
- Good understanding of APIs, Git, software engineering practices, and the AI development lifecycle.
- Strong analytical and problem-solving skills.
- Good communication skills and ability to collaborate with technical and business stakeholders.
Benefits
- Work at the forefront of AI.
- Build real-world solutions using Machine Learning, Generative AI, LLMs, and emerging technologies.
- Take ideas from experimentation and PoCs through to deployable solutions.
- Collaborate with multidisciplinary teams across Southeast Asia and Artefact's global network.
- Develop skills across different industries, technologies, and business challenges.
- Help leading organizations turn AI opportunities into practical solutions and measurable business outcomes.