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
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.
Qualifications
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
Additional Information
Why Join NCS
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.