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AI Engineer

Artefact

Responsibilities

  • for our clients.
  • You will work within multidisciplinary teams and collaborate directly with client stakeholders to transform business challenges and ideas into practical, scalable AI solutions.
  • Design, prototype, test, and deploy AI/ML and Generative AI solutions, from PoCs through to production.
  • Develop solutions leveraging LLMs, RAG, embeddings, prompt engineering, AI agents, and other emerging GenAI capabilities.
  • Develop and integrate machine learning and deep learning models using relevant frameworks and libraries.

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, optimisation, and integration of AI solutions into client environments.
  • Work with business and technology stakeholders to understand requirements and translate them into technical solutions.

Requirements

  • Bachelor's or Master's degree in
  • Professional experience in
  • Python
  • and familiarity with SQL.

Hands-on experience developing

  • Good understanding of APIs, Git, software engineering practices, and the AI development lifecycle.
  • Strong analytical and problem-solving skills.
  • Good communication skills and the ability to collaborate with both technical and business stakeholders.

Preferred

  • , CI/CD, or other DevOps technologies.
  • Experience with frameworks and platforms for developing
  • LLM or agentic AI applications
  • Experience with modern data platforms such as
  • Databricks, Snowflake, or BigQuery

AI Engineer

  • to join our team in
  • Kuala Lumpur, Malaysia

About the Role

As an AI Engineer, you will be a hands-on builder, working on the design, development, and deployment of

Continuous Innovation

Keep up with developments across AI/ML, Generative AI, LLMs, MLOps/LLMOps, and cloud technologies and apply them to real business use cases.

What We Are Looking For

  • Computer Science, Data Science, Engineering, AI/Machine Learning, or another relevant technical field.
  • AI Engineering, Machine Learning, Data Science, Software Engineering, or a related technical role.
  • Strong programming skills in
  • 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
  • What Would Give You an Advantage
  • Experience taking
  • AI/GenAI solutions from PoC into production

Experience with

MLOps/LLMOps, model deployment, monitoring, and lifecycle management.

Experience with

Docker, Kubernetes

  • Previous experience working in a consulting or client-facing environment
  • Experience working on enterprise-scale Data & AI projects.

Why Join Artefact?

  • Work at the forefront of AI.
  • Build real-world solutions using Machine Learning, Generative AI, LLMs, and emerging technologies.
  • Build, not just advise.
  • Take ideas from experimentation and PoCs through to solutions that can be deployed and used by clients.
  • Work with multidisciplinary teams.
  • Collaborate with Data Scientists, Data Engineers, Consultants, and AI specialists across Southeast Asia and Artefact's global network.
  • Develop your skills.
  • Gain exposure to different industries, technologies, and business challenges while continuously developing your technical and consulting capabilities.
  • Make an impact.
  • Help leading organisations turn AI opportunities into practical solutions and measurable business outcomes.
  • Come and build the future of Data & AI with us.