Full-Stack Developer (Amk)

About the role Maintain and evolve an existing AI-powered application (Chatbook), ensuring stability, performance, and continuity of service. Design and build new AI solutions leveraging large language models, retrieval-augmented generation, and agentic frameworks. Work closely with Project Managers, Solution Architects, and business stakeholders to deliver production-grade AI applications on AWS. Key responsibilities Take over the Chatbook Application through structured knowledge transfer, documenting existing architecture, codebase, and integrations Perform ongoing system maintenance including updates, bug fixes, performance tuning, and incident resolution Design and develop end-to-end AI solutions using LLMs, RAG architectures, and agentic frameworks Build MCP-based tool integrations and agentic pipelines for enterprise system connectivity Implement monitoring and observability for AI model performance and agentic behaviour Translate business and stakeholder requirements into robust, AI-powered solutions About you Working experience building AI agents and multi-agent systems using frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI, with a strong understanding of agentic design patterns including planning, tool use, memory, and reflection Working experience with MCP-based tool integrations and maintaining GenAI and agentic applications in production environments, including guardrail implementation and application evaluation Knowledge of LLMOps practices, including prompt management, model evaluation, LLM observability tools (e.g. LangSmith), AI governance, and responsible AI principles Strong fundamentals encompassing clean code, design patterns, testing, REST API development, containerisation, container orchestration, and CI/CD pipelines Proficiency in Next.js / React, Python, TypeScript, and Tailwind CSS Proficiency in relational and NoSQL databases covering query optimisation, schema design, and data management, with familiarity with vec…