Platform AI Engineer

NCS is a leading technology services firm that operates across 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.

As a Platform 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

AI Platform Engineering

• 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

Developer Enablement

• 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
  
  

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
  
  

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.

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