**Role Overview** We are seeking a Full Stack & AI Engineer to design, develop, deploy, and maintain secure, scalable, and high-performance applications across frontend, backend, cloud, and AI platforms. The role involves full-stack application development, maintenance of the Chatbook Application, and the development and integration of enterprise-grade AI solutions. **Key Responsibilities** **Full Stack Application Development** - Design, develop, deploy, and maintain secure, scalable, and high-performance web applications across frontend, backend, and cloud platforms. - Ensure application quality, performance, security, reliability, and maintainability through modern software engineering practices. - Work in an Agile and DevOps-driven environment, applying CI/CD, automation, testing, and secure development practices. - Collaborate with cross-functional teams to deliver reliable and production-ready software solutions. **Chatbook Application Maintenance** - Take ownership of the Chatbook Application following knowledge transfer. - Provide ongoing application maintenance, enhancements, performance optimisation, troubleshooting, and incident resolution. - Ensure application stability, reliability, and continuous improvement. **AI Solution Development & Integration** - Design and implement AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic frameworks, and Model Context Protocol (MCP)-based integrations. - Develop enterprise AI workflows and production-ready AI applications. - Implement monitoring, observability, evaluation, and guardrails for AI solutions. - Translate business requirements into scalable, secure, and production-ready AI solutions. **Requirements** **Education** - Degree or Diploma in Computer Science, Computer Engineering, Electronics Engineering, Information Technology, or a related discipline. **AI & Agentic Engineering** - Hands-on experience building AI agents and multi-agent systems using frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI. - Strong understanding of agentic design patterns, including planning, tool use, memory, and reflection. - Experience with MCP-based tool integrations and maintaining GenAI and agentic applications in production environments. - Experience implementing AI guardrails, application evaluation, and production monitoring. - Knowledge of LLMOps practices, including prompt management, model evaluation, LLM observability tools such as LangSmith or similar platforms, AI governance, and responsible AI principles. **Software Engineering** - Strong software engineering fundamentals, including clean code, design patterns, automated testing, REST API development, containerisation, container orchestration, CI/CD pipelines, and Git-based version control. - Proficiency in Next.js, React, Python, TypeScript, and Tailwind CSS. - Strong experience with relational and NoSQL databases, including query optimisation, schema design, and data management. - Familiarity with vector databases for RAG and semantic search. - Knowledge of secure software development practices, including authentication and authorisation, API security, secrets management, and OWASP best practices. **Cloud & Infrastructure** - Hands-on experience with AWS cloud services, including Lambda, API Gateway, S3, CloudWatch, and IAM. - Experience with AWS Bedrock for accessing and orchestrating foundation models such as Anthropic Claude. - Familiarity with AWS Bedrock capabilities such as Knowledge Bases, Agents, and Guardrails for production-grade generative AI applications. - Experience developing and deploying applications on Government Commercial Cloud (GCC) is an advantage.