#EG Full Stack Developer (AI-Enabled)

Company 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

We are seeking a talented Full Stack Developer (AI-Enabled) to join us. This role combines strong full stack engineering expertise with hands-on fluency in AI-assisted development tools to design, build, and deliver modern digital solutions at speed and scale. You'll work across the entire application stack - from intuitive user interfaces to robust APIs and data services - while leveraging AI coding assistants and, where appropriate, integrating AI capabilities into the products you build. You will help the team raise engineering productivity and quality through smart, responsible use of AI, and contribute to shaping how NCS delivers AI-enabled software to our clients.

Key Responsibilities

Full Stack Application Development

Design, develop, test, and deploy end-to-end web applications spanning frontend, backend services, APIs, and data layers

Translate functional and non-functional requirements into well-architected, maintainable software components using established design patterns

Build and maintain microservices and RESTful / GraphQL APIs using modern stacks such as Java/Spring Boot, .NET, Python, or Node.js

Develop responsive, accessible user interfaces using modern JavaScript/TypeScript frameworks (e.g., React, Angular, Vue)

Model data and work with both SQL and NoSQL databases; design efficient queries, schemas, and integration patterns

Contribute to architecture discussions and trade-off analyses for performance, scalability, security, and cost

AI-Assisted Software Engineering

Use AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, Gemini Code Assist, JetBrains AI Assistant, or equivalent) as a daily part of the development workflow

Leverage AI tools to accelerate coding, refactoring, code review, unit test generation, test data creation, and documentation

Apply prompt engineering and context-design techniques to get high-quality, trustworthy outputs from AI coding assistants

Critically review AI-generated code for correctness, security, performance, licensing, and alignment with project and NCS coding standards before committing

Measure and communicate the productivity and quality impact of AI-assisted workflows on project delivery

AI Solution Integration & Delivery

Integrate AI and Generative AI capabilities into enterprise applications - including LLM-powered features, Retrieval-Augmented Generation (RAG), chatbots and virtual assistants, intelligent document processing, recommendations, and agentic workflows

Build against foundation model APIs and managed AI services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI / Gemini, Anthropic Claude, and OpenAI

Work with vector databases and AI application frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel; pgvector, Pinecone, Weaviate, FAISS) to deliver context-aware experiences

Design AI features with clear evaluation criteria, guardrails, and human-in-the-loop checkpoints

Partner with data scientists, AI/ML engineers, and solution architects to take AI capabilities from prototype to production

Contribute to pre-sales and client engagements by prototyping AI-enabled features and shaping practical, value-driven solution designs

Quality Engineering & Secure Coding

Follow secure coding principles and NCS security guidelines to prevent common vulnerabilities across frontend, backend, and AI integrations

Write and maintain unit, integration, and end-to-end tests; meet project and organisation test coverage targets

Perform static code analysis, code reviews, and threat-aware reviews of AI-generated code and AI-integrated features

Address defects, performance issues, and production incidents through disciplined root-cause analysis

DevOps & Continuous Delivery

Adopt Agile, DevOps, and CI/CD practices to deliver software iteratively and reliably

Build and maintain pipelines (e.g., Jenkins, GitLab CI) for automated build, test, and deployment

Containerise applications and deploy to container platforms (Docker, Kubernetes) and cloud environments (AWS, Azure, GCP)

Instrument applications for observability - logs, metrics, traces, and, where applicable, AI-feature evaluation telemetry

Collaboration & Knowledge Sharing

Partner with business analysts, designers, data scientists, and product owners to translate user needs into working software

Participate in and lead peer reviews, design reviews, and knowledge-sharing sessions

Mentor junior developers on full stack engineering fundamentals and effective, responsible use of AI tools

Document designs, APIs, and AI-integration patterns in a clear and reusable way

Responsible AI & Engineering Excellence

Champion responsible use of AI tools, including IP protection, client data handling, confidentiality, and licence-compliance considerations

Help define and uphold team guardrails and standards for AI-assisted development and AI-integrated products

Stay current with the rapidly evolving AI tooling, model, and framework landscape, and bring relevant advances back to the team

Contribute to NCS assets, reusable components, and reference implementations that accelerate future AI-enabled delivery

Qualifications

Diploma, Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a related field; relevant coding certifications are also welcome

3 to 8 years of professional experience building and delivering production web applications as a full stack developer

Strong hands-on proficiency in at least one backend stack: Node.js (Express, NestJS), Golang, Python.

Strong hands-on proficiency in at least one modern frontend framework: React (Next.js a plus), Angular, or Vue.js, with solid fundamentals in JavaScript/TypeScript, HTML5, and CSS/CSS3

Solid understanding of API design (REST, JSON; GraphQL a plus), microservices, event-driven patterns, and integration with third-party systems

Experience with SQL and NoSQL databases (e.g., Oracle, MS SQL Server, PostgreSQL, MySQL, MongoDB, Redis)

Experience with Git-based source control, Agile delivery, test-driven development, and CI/CD toolchains

Working experience with containers and cloud platforms (Docker, Kubernetes; AWS, Azure, or GCP)

Demonstrated day-to-day use of AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, Gemini Code Assist, JetBrains AI Assistant, Tabnine, Windsurf, or equivalent) and ability to articulate how these tools have improved your delivery quality and speed

Working knowledge of prompt engineering and how to structure effective context and instructions for AI coding assistants

Familiarity with Large Language Models and Generative AI concepts - tokens, context windows, embeddings, vector search, and Retrieval-Augmented Generation (RAG)

Exposure to at least one LLM / GenAI platform or SDK (OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Google Vertex AI / Gemini, Hugging Face)

Involvement in at least one project that delivered an AI solution capability - such as a GenAI / LLM-powered application, RAG system, chatbot or virtual assistant, intelligent document processing, ML-powered feature, or AI agent - is a strong plus

Exposure to AI application frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS), agentic patterns, tool/function calling, Model Context Protocol (MCP), and AI evaluation or guardrail practices is a plus

Awareness of responsible AI principles, data privacy, IP considerations, and security implications of using AI tools on client engagements

Strong problem-solving, analytical thinking, and sound judgement in when - and when not - to rely on AI-generated output

Excellent written and spoken English, with strong communication and collaboration skills in a team environment

Self-motivated, customer-focused, and committed to high engineering and delivery standards

Additional Information

Why Join NCS

Lead high-impact AI management consulting 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.

Scam Alert

We are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.

Please note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. When in doubt, verify the sender’s identity by contacting us at reachus@ncs.com.sg.