#EG Fullstack Developer – AI Applications

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. This role sits within NCS AI Central's (AIC) Forward Deployed Engineering (FDE) model — the combined capability that takes AI solutions from proof-of-concept through to hardened production systems. As Fullstack Developer, you build both the frontend and backend of Gen AI applications — from UI through API and cloud deployment — operating across both fast-moving FDE engagements (POC/POV, pilot deployments) and steady-state system development and maintenance work. What will you do: 1. Frontend Development • Build a simple, clean UI to support key POC and application workflows (upload, query, view results), using ReactJS. • Implement screens with usable UX, optimised for performance and cross-device compatibility. • Integrate with backend APIs for model inference, RAG results, and agentic workflow status and outputs. • Handle user inputs, file uploads, and display model/agent outputs responsively — accounting for the multi-step, non-deterministic nature of agentic workflows. • Add lightweight feedback/error handling for API failures or delayed responses; implement basic authentication or access control where required. 2. Backend Development • Design and develop backend services and APIs using Python (FastAPI/Flask) to support Gen AI functionality. • Implement endpoints for model inference requests, RAG workflows, agentic workflow orchestration (e.g. using frameworks such as AWS Strands or LangGraph), and document upload/processing/storage. • Integrate with cloud AI services for inference and model orchestration — AWS Bedrock, Azure AI Foundry, or Google Vertex AI depending on the engagement — including China-origin models (DeepSeek, Qwen, GLM) where self-hosted or exposed via compatible endpoints. Build lightweight pipelines for RAG (chunking, embeddings, retrieval). • Apply LLMOps practices to support model monitoring and versioning as applications mature toward production. • Manage data storage using Postgres (RDS or equivalent) and/or vector search services (OpenSearch, FAISS, or cloud-native equivalents). 3. Deployment & Quality • Containerise applications using Docker and deploy to AWS ECS Fargate/Lambda, Azure Container Apps/Functions, GCP Cloud Run, or equivalent Kubernetes-based services (EKS/AKS/GKE) where required. • Implement CI/CD pipelines for rapid iteration, using infrastructure-as-code (Terraform or CDK) where practical. • Perform code scans and reviews to identify security issues early (e.g. SonarQube, Fortify). 4. FDE & Development/Maintenance Coverage • During FDE engagements: prioritise speed, clarity, and flexibility over perfect design, iterating quickly based on user feedback and validation sessions. • During system development & maintenance engagements: harden the same application into production-grade code, with full CI/CD, monitoring, and security scanning in place. 5. Collaboration • Work closely with the Application Architect and Cloud Engineer/Architect to align API contracts and architecture. • Document API contracts, workflows, and deployment/UI steps for the team. Role Levels We Are Hiring For We are hiring at two levels for this role. All responsibilities above apply to both; the distinction is in scope of ownership, years of experience, and seniority of judgement expected. Fullstack Developer – AI Applications • 2–4 years of relevant experience. Builds frontend and backend features for one engagement at a time, under guidance from a Senior Fullstack Developer or Application Architect. • Executes defined API/UI work; escalates architecture-level design decisions to the Application Architect. Senior Fullstack Developer – AI Applications • 5+ years of relevant experience, including at least 2 years hands-on in AI/Gen AI application development. Owns fullstack delivery across more complex engagements and works more independently with the Application Architect on design decisions. • Mentors junior Fullstack Developers and sets implementation patterns others follow. The ideal candidate should possess: • Strong in ReactJS, basic state management (Context, Redux, or simple React Query), and TypeScript. • Strong Python development experience (FastAPI/Flask). • Experience with REST APIs, JSON, and async handling. • Hands-on experience with at least one major cloud AI service (AWS Bedrock, Azure AI Foundry, or Google Vertex AI), including model integration, orchestration, and prompt handling. • Working knowledge of China-origin models (DeepSeek, Qwen, GLM) a plus. • Familiarity with agentic orchestration frameworks such as AWS Strands or LangGraph, for implementing multi-step agent workflows. • Familiar with file upload handling (PDF, DOCX, text). • Containerization experience (Docker) and deployment to at least one major cloud's container/serverless services; familiarity with Kubernetes (EKS/AKS/GKE) is a plus. • Familiarity with Postgres schema design, querying, and managed database setup. • Comfortable building lightweight RAG and agentic pipelines and integrating with vector stores. • Understand how Gen AI and agentic outputs can vary and need dynamic rendering. • Working knowledge of secure coding practices and code scanning tools. Preferred Qualifications • Experience with OpenSearch Serverless, Azure AI Search, or other vector databases. • Familiarity with event-driven architectures (SQS/SNS/EventBridge or Azure/GCP equivalents). • Basic knowledge of prompt engineering and Gen AI output evaluation. • Exposure to infrastructure-as-code tools (Terraform). • Exposure to Singapore Government GCC/HCC…