Platform Senior AI Engineer

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

• Strong Python development capabilities
• 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.

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