#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 environments.

Tech Stack (Illustrative)

• Languages: Python, TypeScript/JavaScript
• Frontend: ReactJS, Redux
• Backend: FastAPI/Flask
• Platform: Docker, AWS ECS Fargate/Lambda, Azure Container Apps/Functions, GCP Cloud Run, EKS/AKS/GKE (as needed)
• LLM Runtime: AWS Bedrock, Azure AI Foundry, Google Vertex AI, AWS Strands/LangGraph; DeepSeek/Qwen/GLM (China stack)
• Storage/Search: Postgres (RDS or equivalent), OpenSearch, FAISS
• CI/CD: Terraform/CDK, standard pipelines
• Code Quality: SonarQube, Fortify

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.

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