Agentic and Generative AI Engineer

VAT Group AG; Kampung Sekolah Simpang Ampat; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading technology company in Malaysia is seeking an AI Engineer to design and develop innovative AI solutions that enhance business processes. The successful candidate will work on projects that include automated quality checks in manufacturing and chatbot development. Strong expertise in Python and cloud platforms is essential, along with excellent communication skills to bridge technical and non-technical stakeholders. This role offers opportunities for personal development and a commitment to ethical AI practices within a diverse team environment.

Benefits

Career development opportunities

Equal employment opportunity

Training programmes

Qualifications

• Proven track record in developing and deploying AI solutions.
• Hands-on programming expertise in Python and/or C#.
• Experience with cloud platforms and their AI services.
• Practical experience with CI/CD pipelines for AI models.
• Strong communication skills for technical topics.

Responsibilities

• Design and implement advanced AI solutions using AI technologies.
• Collaborate with cross-functional teams for AI solutions.
• Evaluate emerging AI technologies to enhance the ecosystem.
• Promote ethical AI practices and ensure compliance.
• Engage with stakeholders to align AI projects with strategy.

Skills

Python programming

C# programming

Cloud platforms expertise

Data management

Feature engineering

Data visualization techniques

CI/CD pipelines

Analytical thinking

Teamwork

Stakeholder engagement

Job description

Innovation, Efficiency and Ambition: this is what VAT has stood for over 50 years. With this passion, VAT has grown to become the leading international developer, manufacturer and supplier of high-performance high-end vacuum valves and vacuum sealing technology, employing over 2000 people worldwide. The headquarters are located in Haag (Switzerland), the production centers in Switzerland, Malaysia, Romania and Taiwan.

As an AI Engineer, you will design, develop, and continuously enhance Agentic and Generative AI solutions to automate, optimize, and digitize business processes. By transforming innovative ideas into robust, productive applications, the role drives measurable business value through process improvements, cost savings, and the creation of new digital capabilities that align with strategic objectives. Typical use cases include document data extraction and transfer to Master Data Management systems, visual inspection for automated quality checks in manufacturing, chatbots for financial reporting and code generation, as well as solutions for board meeting report preparation and market analysis.

Your responsibilities include, but are not limited to:

• Design and implement advanced AI solutions using Agentic AI and Generative AI technologies.
• Architect and optimize Retrieval-Augmented Generation (RAG) pipelines for scalable, context-aware applications.
• Integrate and manage Model Context Protocol (MCP) to enable seamless interaction between AI models and external systems.
• Develop multi-agent systems based on the Agent-to-Agent principle, fostering autonomous collaboration and decision-making.
• Collaborate with cross-functional teams to translate business requirements into robust, scalable AI solutions.
• Ensure robustness, security, and compliance across all AI-driven applications.
• Partner with business units and enterprise architecture teams to analyze requirements and define impactful AI use cases.
• Leverage Azure AI Foundry for model development and deployment.
• Design and maintain interfaces for AI services and applications.
• Build and manage automated pipelines for training, testing, and deployment (CI/CD for AI models), including monitoring for performance and drift.
• Create comprehensive technical documentation and share knowledge with development and business teams.
• Evaluate emerging AI technologies, frameworks, and tools to continuously enhance the AI ecosystem.
• Guarantee traceability, fairness, and compliance of deployed AI models.
• Promote ethical AI practices, ensuring fairness, transparency, and adherence to data privacy regulations.
• Engage with stakeholders to gather requirements, communicate insights, and align AI initiatives with business strategy.
• Stay current with AI research, tools, and best practices through continuous learning and active participation in the AI community.

Key Experience:

• Proven track record in developing and deploying AI solutions.
• Hands‑on programming expertise in Python and/or C#, with strong coding and debugging skills.
• Experience with cloud platforms (e.g., Azure, AWS) and their AI services for scalable solution delivery.
• Proficiency in prompt engineering—crafting, evaluating, and refining prompts to optimise generative‑AI model performance.
• Solid understanding of data management, feature engineering, and data visualisation techniques.
• Practical experience with CI/CD pipelines and deploying AI models into production environments.
• Strong communication skills to explain complex technical concepts clearly to both technical and non‑technical stakeholders.
• Experience working in interdisciplinary teams and agile environments, fostering collaboration and adaptability.

Competencies:

• Analytical thinking: Ability to analyse complex problems and develop data‑driven solutions.
• Technical excellence: Deep understanding of modern AI methods, algorithms, and software development.
• Innovation: Openness to new technologies and creative approaches.
• Teamwork: Effective collaboration with diverse stakeholders.
• Communication: Ability to convey complex topics to technical and non‑technical audiences.
• Initiative: Proactive identification and implementation of optimisation opportunities.
• Quality awareness: High standards for traceability and robustness of developed solutions.
• Learning agility: Ability to quickly adapt to new technologies and domains.
• Business orientation: Ability to link AI solutions to measurable business outcomes.
• Ethical responsibility: Commitment to fairness, transparency, and compliance in AI systems.
• Stakeholder engagement: Strong collaboration and communication skills to align AI projects with business needs.
• Continuous learning: Proactive approach to staying current with AI trends and technologies.

VAT is an equal‑opportunity employer. We see ourselves as a responsible and far‑sighted employer that offers not only jobs, but also career and personal development opportunities through various training programmes. We recognise the value of employee diversity and provide equal employment opportunity for all qualified applications that contribute to innovation, improve customer orientation and employee satisfaction. One step in this direction is to ensure that people are recognised and fairly compensated for their contributions to the company. In 2021, VAT received the Fair‑ON‑Pay+ certificate as an acknowledgement for our commitment in ensuring equal pay for equal work between men and women.