#EG Full Stack Developer (AI-Enabled)
Full stack developer at NCS (Singtel Group) in Singapore, building end-to-end web applications — UIs, APIs/microservices, and data layers — with stacks like Java/Spring Boot, .NET, Python, or Node.js, while using AI coding assistants daily and integrating LLM/GenAI features (RAG, chatbots, agents) into client solutions.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Fullstack
- Posted
Skills
Must have
- Diploma, Bachelor's or Master's degree in Computer Science, Computer Engineering, IT, or related field (relevant coding certifications welcome)
- 3-8 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, or Python
- Solid understanding of API design (REST, JSON; GraphQL a plus), microservices, event-driven patterns, and third-party integrations
- 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)
- Working knowledge of prompt engineering and structuring effective context for AI coding assistants
- Familiarity with LLM and Generative AI concepts - tokens, context windows, embeddings, vector search, RAG
- Exposure to at least one LLM / GenAI platform or SDK (OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Google Vertex AI / Gemini, Hugging Face)
- Awareness of responsible AI principles, data privacy, IP considerations, and security implications of AI tools on client engagements
Nice to have
- Involvement in at least one project delivering an AI solution capability (GenAI/LLM app, RAG system, chatbot, IDP, ML feature, or AI agent)
- Exposure to AI application frameworks (LangChain, LlamaIndex, Semantic Kernel), vector databases (Pinecone, Weaviate, pgvector, FAISS), agentic patterns, tool/function calling, MCP, and AI evaluation/
Full 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
- 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