#EG Platform AI Engineer

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?

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 containerised / 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

Qualifications

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 containerised 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

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