#EG Platform AI Engineer at ncs3 – Singapore | Jobyssey

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.

Scam Alert

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