Full-Stack Developer (AMK)

About the roleMaintain 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 responsibilitiesTake over the Chatbook Application through structured knowledge transfer, documenting existing architecture, codebase, and integrationsPerform ongoing system maintenance including updates, bug fixes, performance tuning, and incident resolutionDesign and develop end-to-end AI solutions using LLMs, RAG architectures, and agentic frameworksBuild MCP-based tool integrations and agentic pipelines for enterprise system connectivityImplement monitoring and observability for AI model performance and agentic behaviourTranslate business and stakeholder requirements into robust, AI-powered solutionsAbout youWorking 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 reflectionWorking experience with MCP-based tool integrations and maintaining GenAI and agentic applications in production environments, including guardrail implementation and application evaluationKnowledge of LLMOps practices, including prompt management, model evaluation, LLM observability tools (e.g. LangSmith), AI governance, and responsible AI principlesStrong fundamentals encompassing clean code, design patterns, testing, REST API development, containerisation, container orchestration, and CI/CD pipelinesProficiency in Next.js / React, Python, TypeScript, and Tailwind CSSProficiency in relational and NoSQL databases covering query optimisation, schema design, and data management, with familiarity with vector databases for RAG and semantic searchWorking experience with AWS cloud platform including serverless services (Lambda, API Gateway), storage (S3), monitoring (CloudWatch), and access management (IAM)Hands-on experience with AWS Bedrock to access and orchestrate foundation models such as Anthropic Claude, including features such as Knowledge Bases, Agents, and Guardrails for production-grade generative AI applicationsExperience developing and deploying applications on Government Commercial Cloud (GCC) is an advantage5 day week @ AMKMaestro HRdamien lee tian hongR1106726