#EG Platform AI Engineer

NCS; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

NCS is seeking a Platform AI Engineer to join the AI Center of Excellence. You will build and operate enterprise-grade AI and data platforms, enabling internal teams to consume AI safely at scale.

The role emphasizes production-ready AI capabilities, RAG workflows, and platform integrations with modern cloud-native tech. You will collaborate on deployment, observability, and governance, balancing rapid experimentation with enterprise security and compliance.

Qualifications

• 3–5 years of professional software engineering experience, including work on platform services.
• Hands-on experience building backend services using Python.
• 1–2 years of hands-on experience with AI/ML/LLM-based systems in production or pre-production.
• Experience with LLM integration patterns, including prompt engineering and RAG workflows.
• Experience with vector databases (Milvus) and embedding-based retrieval.
• Understanding of model serving and inference runtimes (e.g. vLLM).
• 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.

Responsibilities

• 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 latency, throughput, resilience, and cost efficiency.
• Platform integration 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.
• Collaborate 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.

Skills

Python

LLMs

Kubernetes

Git CI/CD

Milvus

Data Pipelines

MLOps

Observability

Tools

Milvus

vLLM

Git

CI/CD

Job description

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Job Description

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?

• 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.