Senior Full Stack AI Engineer

Are you a Full Stack Engineer who sees AI as more than simply calling an LLM API? For a large enterprise organisation in the Netherlands, we are looking for a Senior Full Stack AI Engineer to join a small engineering team building an innovative AI-native application from the ground up. The goal is to develop an agentic application that can take business and technical requirements, gather the right context, identify missing or conflicting information, generate technical artifacts and code, and validate the output against requirements and organisational controls. This is an early-stage initiative, so we are looking for someone with a genuine builder mindset. The ambition is to demonstrate a working and valuable application within approximately 6–9 months. What will you be building? The application will automate parts of the data-engineering lifecycle by combining structured information such as data contracts, schemas, standards and control definitions with unstructured business and technical requirements. You will help build the complete application around the AI models, including: Designing human-AI interactions for gathering requirements, resolving ambiguity and reviewing generated outputs.Building the full web application across frontend, backend, APIs, integrations and application services.Engineering AI harnesses and orchestration layers that connect models with enterprise context, tools, execution environments and validation mechanisms.Developing iterative AI workflows where the system can generate, test, validate, correct and explain its outputs.Building mechanisms for context retrieval and context engineering across enterprise data sources.Integrating automated testing, CI/CD feedback, data-quality checks and organisational controls into AI workflows.Maintaining traceability between requirements, retrieved context, generated artifacts, validation results and user decisions.Contributing to security, observability, maintainability and production readiness.Working closely with architecture, data engineering and platform specialists. The profile we are looking for We are looking for a medior-senior to senior engineer, ideally with 5+ years of software engineering experience, who enjoys working across the full technology stack. You are not purely a frontend or backend engineer. You are comfortable moving between application architecture, Python services, React interfaces, AI orchestration and cloud infrastructure. Ideally you bring: Strong Python development experience.Solid React / modern frontend development experience.Experience building enterprise web applications from scratch.Strong API, backend and application-service development experience.Experience with LLMs, Agentic AI or AI orchestration.Understanding of AI harnesses, tool calling, context retrieval and validation loops.Experience designing effective human-AI interactions and UX.Experience with Azure.Knowledge of Docker and Kubernetes.Infrastructure-as-Code experience with Terraform and/or Bicep.Experience with CI/CD and modern software-engineering practices.Understanding of security, privacy, IAM, auditability and operational reliability in enterprise environments. Experience in any of the following would be highly valuable: AI-assisted code generation.Agentic workflows or multi-step AI systems.Evaluation frameworks, guardrails or AI quality mechanisms.Secure execution and validation of AI-generated code.RAG / context engineering.Requirements traceability.Policy-as-code or automated control validation.Data contracts, schemas, metadata or data-product concepts.GitHub Copilot or comparable AI-assisted development tools.Building products in a regulated enterprise environment. The work will roughly combine: 30% AI / Agentic Engineering 30% Frontend / UX 40% Backend / Platform Engineering There is therefore a slight emphasis on backend engineering, but you should be comfortable contributing across the entire application. How you work We are looking for someone with an entrepreneurial and pragmatic mindset. The team operates within a large enterprise organisation, but the project itself needs the pace and ownership of a startup. You should therefore be comfortable navigating enterprise requirements while still finding practical ways to move quickly. You enjoy working with incomplete requirements, asking the right questions and turning ambiguity into working software. You understand that the AI model itself is only one part of an AI-native product and that reliable outcomes depend on context, orchestration, UX, validation, controls and feedback loops. The team You will join a small senior engineering squad supported by a Product Manager. The team is being built around complementary engineering strengths, so collaboration and shared technical decision-making are important. This is a hands-on individual-contributor role, not a people-management position. It is a particularly interesting opportunity for an engineer who wants to move beyond traditional Full Stack development and help build a production-grade Agentic AI application from its earliest stages.