{"id":824002,"url":"https://alion.io/job/ncs-eg-full-stack-developer-ai-enabled","title":"#EG Full Stack Developer (AI-Enabled)","company":{"id":8907,"name":"NCS","domain":"ncs.co","url":"https://alion.io/company/ncs-co","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":82,"open_postings":371,"ghost_share":0.296,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":78000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":58},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitLab CI","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"Hugging Face","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"Nest.JS","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"Tabnine","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Vue.js","optional":false},{"name":"Weaviate","optional":false},{"name":"Windsurf","optional":false},{"name":"C#","optional":true},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-07-06T09:29:40Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-17T00:48:53Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":101},"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.\n 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.\nKey Responsibilities\nFull Stack Application Development\nDesign, develop, test, and deploy end-to-end web applications spanning frontend, backend services, APIs, and data layers\nTranslate functional and non-functional requirements into well-architected, maintainable software components using established design patterns\nBuild and maintain microservices and RESTful / GraphQL APIs using modern stacks such as Java/Spring Boot, .NET, Python, or Node.js\nDevelop responsive, accessible user interfaces using modern JavaScript/TypeScript frameworks (e.g., React, Angular, Vue)\nModel data and work with both SQL and NoSQL databases; design efficient queries, schemas, and integration patterns\nContribute to architecture discussions and trade-off analyses for performance, scalability, security, and cost\nAI-Assisted Software Engineering\nUse 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\nLeverage AI tools to accelerate coding, refactoring, code review, unit test generation, test data creation, and documentation\nApply prompt engineering and context-design techniques to get high-quality, trustworthy outputs from AI coding assistants\nCritically review AI-generated code for correctness, security, performance, licensing, and alignment with project and NCS coding standards before committing\nMeasure and communicate the productivity and quality impact of AI-assisted workflows on project delivery\nAI Solution Integration & Delivery\nIntegrate 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\nBuild against foundation model APIs and managed AI services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI / Gemini, Anthropic Claude, and OpenAI\nWork with vector databases and AI application frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel; pgvector, Pinecone, Weaviate, FAISS) to deliver context-aware experiences\nDesign AI features with clear evaluation criteria, guardrails, and human-in-the-loop checkpoints\nPartner with data scientists, AI/ML engineers, and solution architects to take AI capabilities from prototype to production\nContribute to pre-sales and client engagements by prototyping AI-enabled features and shaping practical, value-driven solution designs\nIntegrate the application with existing enterprise and operational systems through REST APIs, streaming/event interfaces, databases, and other approved integration mechanisms, working closely with client cloud and data teams\nAI-enabled application development, including real-time data-driven applications, AI/ML and LLM integration, agentic workflows, and operational decision-support systems\nQuality Engineering & Secure Coding\nFollow secure coding principles and NCS security guidelines to prevent common vulnerabilities across frontend, backend, and AI integrations\nWrite and maintain unit, integration, and end-to-end tests; meet project and organisation test coverage targets\nPerform static code analysis, code reviews, and threat-aware reviews of AI-generated code and AI-integrated features\nAddress defects, performance issues, and production incidents through disciplined root-cause analysis\nDevOps & Continuous Delivery\nAdopt Agile, DevOps, and CI/CD practices to deliver software iteratively and reliably\nBuild and maintain pipelines (e.g., Jenkins, GitLab CI) for automated build, test, and deployment\nContainerise applications and deploy to container platforms (Docker, Kubernetes) and cloud environments (AWS, Azure, GCP)\nInstrument applications for observability - logs, metrics, traces, and, where applicable, AI-feature evaluation telemetry\nCollaboration & Knowledge Sharing\nPartner with business analysts, designers, data scientists, and product owners to translate user needs into working software\nParticipate in and lead peer reviews, design reviews, and knowledge-sharing sessions\nMentor junior developers on full stack engineering fundamentals and effective, responsible use of AI tools\nDocument designs, APIs, and AI-integration patterns in a clear and reusable way\nResponsible AI & Engineering Excellence\nChampion responsible use of AI tools, including IP protection, client data handling, confidentiality, and licence-compliance considerations\nHelp define and uphold team guardrails and standards for AI-assisted development and AI-integrated products\nStay current with the rapidly evolving AI tooling, model, and framework landscape, and bring relevant advances back to the team\nContribute to NCS assets, reusable components, and reference implementations that accelerate future AI-enabled delivery\n Diploma, Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a related field; relevant coding certifications are also welcome\n3 to 8 years of professional experience building and delivering production web applications as a full stack developer\nStrong hands-on proficiency in at least one backend stack: Node.js (Express, NestJS), Golang, Python.\nStrong 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\nSolid understanding of API design (REST, JSON; GraphQL a plus), microservices, event-driven patterns, and integration with third-party systems\nExperience with SQL and NoSQL databases (e.g., Oracle, MS SQL Server, PostgreSQL, MySQL, MongoDB, Redis)\nExperience with Git-based source control, Agile delivery, test-driven development, and CI/CD toolchains\nWorking experience with containers and cloud platforms (Docker, Kubernetes; AWS, Azure, or GCP)\nDemonstrated 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\nWorking knowledge of prompt engineering and how to structure effective context and instructions for AI coding assistants\nFamiliarity with Large Language Models and Generative AI concepts - tokens, context windows, embeddings, vector search, and Retrieval-Augmented Generation (RAG)\nExposure to at least one LLM / GenAI platform or SDK (OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Google Vertex AI / Gemini, Hugging Face)\nInvolvement 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\nExposure 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\nAwareness of responsible AI principles, data privacy, IP considerations, and security implications of using AI tools on client engagements\nStrong problem-solving, analytical thinking, and sound judgement in when - and when not - to rely on AI-generated output\nExcellent written and spoken English, with strong communication and collaboration skills in a team environment\nSelf-motivated, customer-focused, and committed to high engineering and delivery standards\n Why Join NCS\nLead high-impact AI management consulting programs for major enterprises and public sector clients.\n\nShape enterprise strategies and governance frameworks that drive real transformation.\n\nWork with a talented, multidisciplinary team in a collaborative environment.\n\nCompetitive compensation and strong professional development support.\n\nWe 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.\nTogether, we make the extraordinary happen.\nLearn more about us at ncs.co and visit our LinkedIn career site.\nScam Alert\nWe 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.\nPlease 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. 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