AI Engineer

About the role

Who is Artefact?

Artefact is a global consulting firm specialising in Data & AI, dedicated to transforming data into measurable business impact. We combine business consulting with deep expertise in data, AI, analytics, and technology to help organisations accelerate their transformation.

Our multidisciplinary teams bring together consultants, data scientists, data engineers, AI engineers, and technology experts to deliver impactful solutions for leading organisations around the world.

As we continue to grow our Data & AI capabilities in Southeast Asia, we are looking for an 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 AI and Generative AI solutions 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.

What You Will Be Doing

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Build & Deploy AI Solutions: Design, prototype, test, and deploy AI/ML and Generative AI solutions, from PoCs through to production.

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Generative AI & LLMs: Develop solutions leveraging LLMs, RAG, embeddings, prompt engineering, AI agents, and other emerging GenAI capabilities.

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Machine Learning: Develop and integrate machine learning and deep learning models using relevant frameworks and libraries.

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Cloud & AI Engineering: Build and deploy solutions using GCP, Azure, or AWS, including cloud-native AI services and data pipelines.

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Solution Development: Contribute to the architecture and development of scalable, secure, and maintainable AI solutions.

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Productionisation: Support deployment, monitoring, optimisation, and integration of AI solutions into client environments.

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Client Collaboration: Work with business and technology stakeholders to understand requirements and translate them into technical solutions.

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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

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Bachelor's or Master's degree in Computer Science, Data Science, Engineering, AI/Machine Learning, or another relevant technical field.

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Professional experience in AI Engineering, Machine Learning, Data Science, Software Engineering, or a related technical role.

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Strong programming skills in Python and familiarity with SQL.

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Hands-on experience developing Machine Learning and/or Generative AI solutions.

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Experience with LLM-related technologies such as RAG, embeddings, prompt engineering, vector databases, or AI agents.