AI Engineer

Who is Artefact?

Artefact is a global consulting firm specialising inData & 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 anAI Engineer to join our team inKuala Lumpur, Malaysia.

About the Role

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

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

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

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

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

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

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

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

• 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

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

• Professional experience inAI Engineering, Machine Learning, Data Science, Software Engineering, or a related technical role.

• Strong programming skills inPython and familiarity with SQL.

• Hands-on experience developingMachine Learning and/or Generative AI solutions.

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

• Familiarity with ML/AI frameworks and libraries such asPyTorch, 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 the ability to collaborate with both technical and business stakeholders.

What Would Give You an Advantage

• Experience takingAI/GenAI solutions from PoC into production.

• Experience withMLOps/LLMOps, model deployment, monitoring, and lifecycle management.

• Experience withDocker, Kubernetes, CI/CD, or other DevOps technologies.

• Experience with frameworks and platforms for developingLLM or agentic AI applications.

• Experience with modern data platforms such asDatabricks, Snowflake, or BigQuery.

• Previous experience working in aconsulting 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.