AI Engineer

twentysix; Kuala Lumpur; On-site; MYR 120,000 - 240,000; Full time

Job summary

Artefact in Kuala Lumpur is seeking an AI Engineer to design, develop and deploy Generative AI solutions for clients. You will work in multidisciplinary teams to transform business challenges into practical AI products.

You will tackle PoCs to production, leverage LLMs, embeddings, RAG, and modern ML frameworks on cloud platforms like GCP, Azure or AWS. Strong Python, SQL and collaboration skills are essential.

Qualifications

• Bachelor's or Master's in a technical field with AI focus.
• Experience building AI/GenAI solutions.
• Proficient Python and SQL.
• Experience with LLMs, RAG, embeddings, and AI agents.

Responsibilities

• Build, prototype, test and deploy AI/ML and GenAI solutions from PoCs to production.
• Develop GenAI solutions leveraging LLMs, RAG, embeddings, and prompts.
• Develop ML models using relevant frameworks.
• Build and deploy cloud-native AI services on GCP, Azure, or AWS.
• Contribute to scalable, secure, and maintainable AI solutions.
• Support deployment, monitoring, and optimisation in client environments.
• Collaborate with business and technical stakeholders to translate requirements.
• Stay up-to-date with AI/ML and cloud tech and apply to client use cases.

Skills

Python

SQL

LLMs

RAG

Embeddings

AI

PyTorch/TensorFlow

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, AI/ML

Tools

Docker

Kubernetes

Databricks

Snowflake

BigQuery

Git

CI/CD

Job description

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

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 using GCP, 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 in Computer Science, Data Science, Engineering, AI/Machine Learning, or another relevant 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 the ability to collaborate with both technical and business stakeholders.

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, 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.

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.