Key Skills

Job Description

Fullstack Gen AI and Agentic Systems Engineer Amsterdam Based Ideally, but remote candidates in the same time zone will be considered Rate €90 per hour 6 Month Rolling contract Background A global business focused on software and travel is seeking an experienced engineer to join their Intelligent Automation team. You will design, build, deploy and operate production grade AI applications that combine modern web development with advanced generative AI and multi agent systems. The team works with a high degree of autonomy and supports efficiency improvements across the organisation. About The Role In this role you will create end to end AI applications spanning frontend, backend and AI orchestration. You will design multi agent workflows using frameworks such as LangGraph or LangChain, implement retrieval augmented generation systems with strong grounding techniques including knowledge graphs, and build custom agent skills together with Model Context Protocol integrations. You will develop real time interfaces using React, Next.js and TypeScript, construct scalable backends with Python FastAPI or Node.js, and work with event driven architectures. You will also design data pipelines and orchestration, deploy solutions on AWS using Docker and Kubernetes, and establish evaluation, monitoring and observability practices for AI systems. Modern AI assisted development tools form part of the daily workflow. Core Skills Designing and building production grade generative AI and multi agent applications Fullstack development with React, Next.js, TypeScript, Python FastAPI and Node.js Agentic frameworks such as LangGraph or LangChain Custom Model Context Protocol integrations Retrieval augmented generation, vector databases, embedding strategies and knowledge graph grounding Data pipelines, advanced SQL, Snowflake and workflow orchestration AWS, Docker, Kubernetes, evaluation pipelines and observability tooling Core Background Required Hands on experience deploying generative AI and agentic applications at scale Proven ability to deliver end to end solutions from frontend interfaces through to backend systems and AI orchestration Strong ownership, collaboration across teams Comfort working with modern AI assisted development Ideal Candidate Summary The ideal candidate is a hands on engineer who has already built and deployed production generative AI and agentic applications at scale. You bring strong fullstack experience covering React and Next.js with TypeScript on the frontend and Python FastAPI or Node.js on the backend. You have practical knowledge of agentic frameworks, retrieval systems, vector databases, embedding strategies and techniques that keep AI answers well grounded. You are comfortable creating custom integrations, managing evaluations and monitoring for agent behaviour, and working with data tools including advanced SQL and Snowflake. Cloud and deployment experience with AWS, Docker and Kubernetes is essential, as is familiarity with observability platforms. You take ownership of your work, collaborate effectively across teams, and focus on delivering high quality solutions that solve real business problems.

Core Responsibilities

Design, build, deploy, and operate production-grade AI applications spanning frontend, backend, and AI orchestration, including multi-agent workflows and grounded retrieval systems. Develop data pipelines and real-time interfaces, deploy solutions on AWS, and establish evaluation, monitoring, and observability practices.

Requirements

Candidates need hands-on experience deploying generative AI and agentic applications at scale, along with end-to-end full-stack expertise using React, Next.js, TypeScript, and Python FastAPI or Node.js. Practical knowledge of agent frameworks, retrieval systems, vector databases, data tools, AWS, Docker, Kubernetes, and observability is expected, as are ownership and cross-team collaboration.