
Senior AI Fullstack Engineer β Cloud Applications
Posted Jun 20

Posted Jun 20
This is a fully remote position, open to applicants in Germany.
β’ Design and enhance the architecture of our autonomous agent swarm by defining agent boundaries, data flows, and the feedback loops that enable bees to self-correct and deliver features from start to finish.
β’ Build and manage the infrastructure that supports our AI-native pipeline, utilizing various AWS services such as Lambda functions, DynamoDB, and SNS/SQS.
β’ Lead with comprehensive technical specifications β if the logic isn't documented, it doesn't exist β transforming complex product requirements into clear, agentic-ready designs that act as the definitive source of truth for AI-driven implementation.
β’ Guide and assess coding agents and LLM models, evaluating their outputs against a high-quality mental model to ensure accuracy, performance, and security.
β’ Extend and maintain our TypeScript/Fastify backend and React micro-frontend architecture, enhancing observability, reliability, and test coverage throughout the stack.
β’ Establish and enforce guardrails, monitoring systems, and self-healing mechanisms that ensure the safe operation of autonomous agents in production.
β’ Collaborate with Engineering and Product leadership to influence the long-term vision of AI-native development at HiveMQ.
β’ Remain at the cutting edge of AI tooling, agent frameworks, and LLM capabilities, continually refining how the hive thinks and builds.
β’ A solid software engineering background (5+ years) with practical experience in architecting and delivering full-stack applications in TypeScript, Node.js, and React.
β’ Hands-on experience with AWS infrastructure at a production level β including Lambda, DynamoDB, and related services β with a deep understanding of potential failure points at scale.
β’ Extensive experience working with AI coding agents and LLM-powered workflows, knowing how to effectively guide them rather than merely prompting.
β’ A DevOps-first mindset β you have created monitoring, alerting, and self-healing systems that maintain the health of production environments without constant human oversight.
β’ Strong architectural skills in bounded contexts, idempotent design, decoupled micro-frontends, and distributed systems.
β’ The capability to convert vague product objectives into precise, agentic-ready technical specifications with no room for misunderstanding.
β’ A high sense of ownership and initiative β you proactively identify bottlenecks, propose solutions, and follow through independently.
β’ Exceptional English communication skills and the ability to collaborate effectively across engineering, product, and leadership in a remote-first setting.
β’ Opportunity to work on cutting-edge AI technologies and frameworks.
β’ Collaborative remote work environment with dynamic teams.
β’ Competitive salary and comprehensive benefits package.
β’ Professional development opportunities to enhance your skills and career growth.
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