TECHNICAL CONSULTANT

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.NET Coreor 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.