Full Stack Engineer in Utrecht

Build the next generation of AI-native enterprise applications

Are you a senior software engineer who believes the future of software development will be shaped by intelligent systems working alongside humans?

Do you enjoy building complex applications where AI, software engineering, and user experience come together?

For an innovative enterprise environment, we are looking for a

Senior Full Stack AI Engineer

to join a multidisciplinary team building an AI-native application that transforms how technical products and artifacts are created.

The goal is to develop a platform that can understand user requirements, gather relevant context, generate technical outputs, validate results, and continuously improve through human feedback.

This is not a role focused on simply integrating an AI model. The challenge is building the complete system around the model: creating reliable AI workflows, designing human-AI interactions, engineering validation loops, and delivering an enterprise-ready application.

Your role

As a Senior Full Stack AI Engineer, you will work as a hands-on individual contributor alongside other experienced engineers and specialists.

You will help design and build the architecture around AI capabilities, ensuring that generated outcomes are accurate, explainable, secure, and aligned with enterprise standards.

Your focus will include:

Designing human-AI interactions that help users provide requirements, resolve ambiguity, and refine generated results.

Building a complete enterprise web application, including frontend components, APIs, application services, integrations, and data models.

Developing backend services and AI orchestration components using

Python , while building interactive frontend applications and user interfaces using

TypeScript .

Developing AI harnesses that connect models with context, tools, execution environments, and validation mechanisms.

Creating iterative AI workflows where systems can generate, test, validate, improve, and explain outputs.

Integrating automated testing, quality checks, CI/CD feedback, and organizational controls into AI workflows.

Containerizing applications and services using

Docker

and supporting deployment and orchestration in

Kubernetes

environments.

Using

Terraform

to define, provision, and manage cloud infrastructure through infrastructure as code.

Ensuring traceability between requirements, context, generated artifacts, validation results, and user decisions.

Contributing to application security, observability, scalability, and operational readiness.

What you bring

You are an experienced full-stack engineer who understands that successful AI applications require more than a powerful model. You know that context, workflows, controls, user interaction, and engineering discipline determine the quality of AI outcomes.

You have:

Senior-level experience building and operating enterprise web applications.

Strong full-stack engineering experience across user interfaces, APIs, application services, integrations, and application data models.

Strong programming experience with

Python

for backend development, AI integrations, workflow orchestration, or application services.

Experience with

TypeScript

for developing frontend applications, web interfaces, and API integrations.

Experience designing applications where AI interacts with users and business processes.

Experience building AI-enabled workflows, agents, or AI orchestration layers.

Knowledge of context engineering, including collecting, retrieving, and structuring information for AI systems.

Practical experience with

Docker

and containerized application development.

Experience deploying or operating applications on

Kubernetes .

Experience with

Terraform

or comparable infrastructure-as-code practices for managing cloud environments.

Experience integrating software engineering practices such as automated testing, CI/CD, observability, and quality controls into AI solutions.

Understanding of enterprise requirements around security, privacy, identity, access management, and auditability.

Particularly valuable experience

Experience with one or more of the following is highly valued:

AI-assisted software development and code generation.

Secure execution and validation of generated code.

Evaluation frameworks, guardrails, and AI quality feedback mechanisms.

Requirements traceability and approval workflows.

Policy-as-code or automated compliance controls.

Data contracts, schemas, metadata, and data quality concepts.

Cloud-native development, containerization, and CI/CD platforms.

Infrastructure as code, automated provisioning, and Kubernetes-based deployment.

Designing scalable, observable, and secure AI-enabled applications in enterprise cloud environments.

Your way of working

You are a pragmatic innovator who can move quickly while respecting enterprise requirements. You enjoy solving ambiguous problems and turning early concepts into working solutions.

You collaborate effectively with architects, data engineers, platform specialists, and business stakeholders. You bring technical expertise while remaining open to different perspectives and shared decision-making.

You understand that the future of AI engineering is not only about models — it is about building reliable systems where humans and AI work together effectively.

What makes this opportunity interesting?

Work on a cutting-edge AI-native application.

Build systems around modern AI capabilities rather than only consuming AI APIs.

Influence architecture and engineering practices from an early stage.

Work with modern technologies including Python, TypeScript, Terraform, Kubernetes, and Docker.

Collaborate with senior specialists across AI, software engineering, and enterprise architecture.

Create technology that changes how technical products are designed and delivered.

Role:

Senior Full Stack AI Engineer

Focus:

AI Engineering | Full Stack Development | Agentic Workflows | Enterprise AI

Environment:

Enterprise | Cloud-native | AI-driven applications

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