Senior AI Engineer

Senior AI Engineer

Job ID: 4RR7RVW5

Location: Malaysia

Work Mode: [Onsite | Hybrid]

Job Type: [Permanent | Contract]

Our client is the world leader in stone wool solutions, transforming volcanic rock into safe and sustainable products that help people and communities thrive. Our client operates globally with more than 12,000 employees across 40+ countries and 51 manufacturing facilities, all united by a common purpose: harnessing the natural power of stone to enrich modern living. Sustainability is at the core of their strategy, including active commitments to multiple UN Sustainable Development Goals and partnerships that drive awareness and solutions for global environmental challenges.

We are seeking an experienced Senior AI Engineer to help expand our clients AI capabilities and power the next wave of digital transformation across the business.

Responsibilities

• Work with Data Scientists, ML Engineers and cross-functional stakeholders to run and maintain AI/ML products and analytics solutions.

• Program in Python and use Azure, Google Cloud and OpenShift to deploy and operate machine learning models.

• Maintain custom Generative AI products, including in-house developed GPT-based solutions.

• Develop and maintain AI APIs and backend services that power custom AI products.

• Use Azure OpenAI, vector databases, LangChain and other relevant libraries and services to design, build and deploy custom GenAI applications.

• Proactively handle service requests and incidents to ensure high availability and continuous uptime of AI products and services.

• Profile, tune and optimize models and backend components to meet SLA and performance requirements.

• Evaluate and recommend new technologies, tools and architectural patterns to improve existing products and services.

• Automate infrastructure provisioning (IaC) and CI/CD pipelines for custom AI workloads.

Requirements

Must-have:

• Bachelors degree in Computer Science, Software Engineering, Information Systems or a related field.

• 3-5 years of hands-on experience in data science or AI with strong use of cloud-based services.

• Proficiency in Python and the ability to learn other relevant programming languages quickly.

• Experience with LangChain and familiarity with Azure OpenAI or similar large language model services.

• Proven experience building custom retrieval-augmented generation (RAG) pipelines from scratch using LangChain and related libraries.

• Extensive experience with Git, including GitHub and GitOps practices.

• Experience developing AI-based APIs and exposing them as services (for example, via an AI marketplace).

• Excellent problem-solving skills, detail-oriented and able to troubleshoot complex data issues under tight SLAs.

• Strong communication skills, able to bridge technical teams, non-technical stakeholders and senior management.

• Proactive, continuous-improvement mindset, with the ability to break down ambiguous requirements into clear, actionable tasks.

Nice-to-have:

• Masters degree in Computer Science, Software Engineering, Information Systems or a related field.

• Familiarity with containerization and tools such as Docker and Kubernetes.

• Experience with Azure and Azure services related to data science and AI.

• Knowledge of GCP, OpenShift and SAP.

Why Join Us

• Join a global market leader in sustainable building and insulation solutions.

• Work on cutting-edge AI and Generative AI products with real-world industrial impact.

• Be part of a diverse, inclusive workplace with colleagues from many nationalities and backgrounds.

• Contribute directly to meaningful sustainability initiatives and UN Sustainable Development Goals.

• Grow your career through structured development programs and exposure to international teams and projects.