TECHNICAL CONSULTANT

MAGENTA CONSULTING SERVICES PTE. LTD.; Singapore; On-site; SGD 90,000 - 170,000; Full time

Job summary

MAGENTA CONSULTING SERVICES PTE. LTD. is seeking Technical Consultants with strong web and mobile development experience and hands-on AI integration skills. You will design, build and deploy web and mobile applications, incorporating AI features with robust MLOps practices.

The role involves real-time systems, Azure cloud infrastructure, and payment platform integrations. Collaboration with business stakeholders will convert operational needs into scalable tech solutions.

Qualifications

• Diploma or Degree in Computer Science, Information Technology or equivalent.
• 3+ years of experience in related field.
• Experience with modern web technologies (Next.js, TypeScript, React).
• Experience in cross-platform mobile development (Flutter or React Native).
• ML model training, evaluation and deployment using Python with ML libraries.
• Experience integrating AI into production apps (RAG, chatbots, LLMs).
• Cloud development on Microsoft Azure; knowledge of DevSecOps pipelines.
• Familiarity with Docker, Kubernetes, Terraform and CI/CD pipelines.

Responsibilities

• Design and develop web and mobile applications from requirements to deployment.
• Integrate AI/ML capabilities into production systems with MLOps practices.
• Build real-time systems using event-driven processing and WebSocket channels.
• Deploy scalable Azure cloud infrastructure with DevSecOps pipelines.
• Integrate payment and subscription platforms (Stripe, HitPay).
• Design and administer databases and perform migrations.
• Collaborate with stakeholders to translate needs into technical solutions.

Skills

Web development

Mobile development

AI integration

MLOps

Cloud computing

Azure

Docker

Kubernetes

CI/CD

TypeScript

Education

Bachelor's or Diploma in CS/IT

Tools

Next.js

React

Flutter

React Native

Python (ML)

PyTorch

TensorFlow

LangChain/LangGraph

Job description

We are looking for Technical Consultants with extensive experience in web and mobile technologies and practical experience applying AI technologies, with a keen focus on delivering reliable business solutions.

Duties and Responsibilities:

• Design and develop web and mobile applications from requirements gathering and analysis through to deployment and production support.
• Integrate AI and machine learning capabilities into production systems, including RAG, chatbot and agentic AI applications, with appropriate MLOps and LLMOps practices for deployment, evaluation and monitoring.
• Build real time systems using event driven message processing and WebSocket channels, delivering live status updates and operational monitoring displays.
• Design and deploy scalable, highly available cloud infrastructure on Microsoft Azure, with DevSecOps pipelines covering automated build, test, security scanning and deployment.
• Integrate payment and subscription billing platforms such as Stripe and HitPay, covering recurring billing, invoicing, payment operations and reconciliation.
• Design and administer databases, including schema evolution and migration of live production systems.
• Work directly with business stakeholders and production users to triage issues, prioritise feedback, identify suitable opportunities for AI-enabled automation and convert operational needs into practical technical solutions.

Requirements:

• Preferably a Diploma or Degree in Computer Science, Information Technology or equivalent, with at least 3 years of working experience in a related field.
• Experience in modern web technologies such as Next. js, TypeScript and React. Angular is also useful.
• Cross platform mobile application development using Flutter orReact Native, including integration with backend services and cloud APIs, push notification and offline behaviour.
• ML model training, evaluation and deployment using Python with scikit-learn, PyTorch or TensorFlow, with practical MLOps experience using MLflow or Kubeflow for experiment tracking, model registry, staged rollout and drift detection.
• OCR document processing and LLM integration into production applications using modern AI frameworks such as LangGraph or LangChain,including RAG pipelines, embeddings and vector search, prompt design and evaluation.
• Backend web services using Spring Boot,ASP.NETCoreor FastAPI.
• Kafka, Google Pub/Sub, WebSockets and Redis will be anadvantage.
• Cloud development and deployment on Microsoft Azure, coveringcompute, storage, managed databases and networking. Google Cloud experience is also useful.
• Containerisation with Docker and orchestration with Kubernetes. Infrastructure as code using Terraform will be an advantage.
• CI/CD pipelines with GitHub Actions or equivalent, coveringbuild, automated testing at unit, integration and end to end levels using tools such as Jest or Playwright, static analysis, security scanning (SAST, DAST,Trivy) and deployment, together with monitoring, logging and troubleshooting of production systems.
• Schema design, administration and query tuning on PostgreSQL and MySQL, with Prisma or Entity Framework Core.
• Good working knowledge of Python, Java, TypeScript, JavaScript,C#, .NET and SQL.
• Agile delivery and project management tools such as Jira,covering sprint planning, backlog management and code review workflows.