Full-Stack AI Engineer

ResponsibilityThe Full-Stack AI Engineer is responsible for designing, developing, deploying, and maintaining secure and scalable web applications, with a strong focus on AI-enabled development and AI application integration. The role requires strong full-stack engineering capabilities across React, Next.js, Node.js, PostgreSQL, modern AI coding tools, database-as-code, cloud, and DevOps practices.Own end-to-end application development across frontend, backend, database, AI integration, testing, and deployment.Design and develop responsive and maintainable applications using React, Next.js, TypeScript, and Node.js.Develop secure and scalable backend services, APIs, and integrations.Design and manage PostgreSQL schemas, migrations, and data models using database-as-code practices.Use AI coding assistants and agents effectively for development, testing, debugging, refactoring, and documentation while ensuring generated code is reviewed and validated.Develop AI-enabled application features through integration with LLMs and Generative AI APIs, including structured outputs, tool/function calling, RAG, and agentic workflows where applicable.Develop automated tests and proactively identify and resolve defects.Implement and maintain CI/CD pipelines for automated testing, database migration, and deployment.Apply secure development practices covering authentication, authorization, API security, secrets, data protection, and AI-specific security risks.Continuously evaluate emerging AI and software engineering technologies to improve developer productivity and application capabilities.Experience and Skills NeededFull-Stack DevelopmentDegree or Diploma in Computer Science, Engineering, Information Technology, or related disciplines, or equivalent relevant experience.Strong hands-on experience in full-stack application development.Strong proficiency with Git, JavaScript, and TypeScript.Experience taking applications or features from requirements through development, testing, and deployment.Frontend TechnologiesFluent in React.js and Next.js.Strong proficiency in TypeScript and JavaScript.Experience with component and styling frameworks such as Tailwind CSS, shadcn/ui, or equivalent.Understanding of responsive design, accessibility, frontend performance, and modern React/Next.js architecture.Backend TechnologiesFluent in Node.js, with experience in frameworks such as Express.js.Strong experience designing and developing RESTful APIs.Experience with authentication, authorization, integration services, and secure API development.Knowledge of GraphQL, WebSockets, or gRPC is advantageous.PostgreSQL & Database-as-CodeStrong proficiency with PostgreSQL, relational data modelling, SQL, indexing, and query optimisation.Experience managing database schemas and migrations using database-as-code principles.Experience with ORM/database tools such as Prisma, Drizzle ORM, TypeORM, or equivalent.Understanding of database version control and automated deployment strategies.AI Coding & DevelopmentProven practical experience using AI coding assistants or coding agents such as GitHub Copilot, Claude Code, OpenAI Codex, or equivalent.Ability to use AI effectively for coding, prototyping, testing, debugging, refactoring, and documentation.Experience reviewing, testing, and securing AI-generated code before production use.Experience integrating applications with LLM/Generative AI services such as OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or equivalent.Knowledge of AI application patterns such as prompt engineering, structured outputs, tool/function calling, RAG, embeddings, vector search, and AI agents is advantageous.DevOps, Cloud & ObservabilityExperience with CI/CD pipelines on GitLab (SGTS).Hands-on experience with cloud platforms such as AWS (GCC).Experience with application logging, monitoring, error tracking, and observability tools.Understanding of containerisation and infrastructure-as-code is advantageous.Preferred ProfileA hands-on engineer who combines strong full-stack engineering fundamentals with AI-native development practices (at least 5 years’ experience). The candidate should be comfortable rapidly building applications using React/Next.js, Node.js and PostgreSQL, extensively leveraging AI coding tools while maintaining appropriate standards for architecture, security, testing, and maintainability.