Platform Senior 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 an AI Platform Engineer , you'll be part of our AI Centre of Excellence (AI COE) - a centralized platform team building and operating enterprise-grade AI and data platforms for internal engineering teams across NCS. You'll work hands-on to develop reusable platform components, implement AI workflows, and ensure our services meet production-grade standards. This isn't about one-off projects—you'll own shared capabilities end-to-end and help internal teams consume LLM capabilities in a consistent, reliable way.

What will you do? Platform Development & Integration

Build AI platform services and APIs using Python

Integrate with model access layers, data systems, and platform services

Contribute to shared libraries and reusable platform components

AI Workflow Implementation

Implement AI workflows including RAG pipelines and inference services

Develop LLM integration patterns and prompt-based workflows

Work with vector databases and embedding pipelines

Production Operations & Optimization

Design services for reliability, scalability, and fault tolerance

Optimize latency, throughput, and resource utilization

Support deployment, testing, and production operations

Improve platform usability for internal developers

Qualifications The ideal candidate should possess: Experience

6–8 years of software engineering experience

1–2 years hands-on experience with AI or LLM-based systems

Proven track record building backend services in production environments

Experience with shared or platform-based architectures

Familiarity with distributed systems and service-oriented design

Technical Skills

RAG concepts including embedding and retrieval

Vector database usage and embedding pipelines

Model serving or inference runtime concepts

Containerization and Kubernetes environments

CI/CD pipelines and version control workflows

Monitoring, logging, and tracing fundamentals

Key Attributes

Strong ownership mindset from development to production

Comfortable working in evolving and ambiguous problem spaces

Ability to balance experimentation speed with engineering discipline

Clear communication with technical stakeholders

Collaborative approach within platform and architecture teams

Continuous learning attitude towards new AI technologies

Education Qualification

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)

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.