Platform AI Engineer

NCS Group; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading technology services firm is seeking a Platform AI Engineer to build and enhance AI platform services using Python and cloud-native technologies. The role requires strong experience in AI and software engineering, focusing on production-grade AI capabilities. Candidates should have familiarity with Kubernetes, vector databases, and data pipelines. The firm offers competitive compensation and strong professional development support in a collaborative team environment.

Benefits

Competitive compensation

Professional development support

Qualifications

• 3–5 years of professional software engineering experience.
• 1–2 years of hands-on experience with AI or LLM systems.
• Experience working in containerized environments.

Responsibilities

• Build and enhance AI platform services using Python.
• Implement AI workflows and design production-grade AI services.
• Collaborate on deployment and operational reliability.

Skills

Python

AI

ML

LLM integration patterns

Git-based workflows

Tools

Kubernetes

Milvus

Job description

NCSis a leading technology services firm thatoperatesacross the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of approximately 14,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

Job Description

As aPlatform AI Engineer, you will be a hands-on contributor within the AI Center of Excellence (AI COE), a centralized platform product team that builds and operates enterprise-grade AI and data platforms. Your focus is on developing shared, production-ready AI capabilities – such as LLM services, workflows, and platform integrations – that enable internal engineering teams to safely, reliably, and efficiently consume AI at scale.

What Will You Do?

Build and enhance AI platform services using Python and cloud-native technologies

Implement AI workflows including RAG pipelines, inference services, and agent-based logic

Design AI services with production-grade considerations such as latency, throughput, resilience, and cost efficiency

Platform Integration

Integrate AI services with model platforms, AI gateways, vector databases, and inference runtimes

Integrate with data pipelines (batch and streaming) to support AI workflows

Work with observability and LLMOps tooling to enable monitoring and operational visibility

Reliability, Deployment & Operations

Collaborate with platform engineers on deployment, scaling, and reliability in containerized / Kubernetes environments

Participate in production support, incident resolution, and continuous improvement

Balance rapid experimentation with enterprise requirements such as security, governance, and compliance

Contribute to shared libraries, SDKs, and internal developer tooling

Improve platform usability and overall developer experience

Participate in code reviews, testing, and Git-based CI/CD workflows

Qualifications

The ideal candidate should possess:

• Strong hands-on experience building backend or platform services using Python
• 3–5 years of professional software engineering experience, including work on shared or platform services
• 1–2 years of hands-on experience with AI, ML, or LLM-based systems in production or pre-production environments
• Experience with LLM integration patterns, including prompt engineering and RAG workflows
• Experience with vector databases (e.g. Milvus) and embedding-based retrieval
• Understanding of model serving and inference runtimes (e.g. vLLM or equivalent)
• Familiarity with AI gateways and access control patterns for LLMs
• Experience integrating with data pipelines (batch and streaming)
• Basic understanding of LLMOps and observability concepts for AI systems
• Experience working in containerized and Kubernetes-based environments
• Familiarity with Git-based workflows and CI/CD pipelines
• Strong ownership mindset, collaborative approach, and willingness to learn evolving AI technologies

Additional Information

Why Join NCS

Lead high-impact Data & AI advisory programs for major enterprises and public sector clients.

Shape enterprise strategies and governance frameworks that drive real transformation.

Work with a talented, multidisciplinary team in a collaborative environment.

Competitive compensation and strong professional development support.

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.