Platform AI Engineer: Build Scalable AI Services

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 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.