16 Apr 2026

AI Engineer

DEPT®

Amsterdam

16 Apr 2026

Apply

AI Engineer

AI Engineer role at DEPT®, a Growth Invention company, focusing on designing, developing, and deploying AI solutions for clients across industries. Requires hands-on experience with machine learning frameworks, cloud platforms, and Python, with direct availability to work in Budapest, Hungary.

On-siteFull-timeMid LevelMachine LearningAI

AI Engineer

Apply

On-siteFull-timeMid LevelMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Employment Type

Full-time

Experience Level

AI Engineer who combines strong technical foundations with the ability to bring AI systems from concept to scalable production

Core Qualifications

Technical (Must-have)

Machine LearningAIGenAIRAGPythonScikit-learnTensorFlowPyTorchLangChainLangGraph

Soft Skills

communicationcollaborationproblem solvingleadershipadaptabilityproactive mindset

Tools (Must-have)

AWSAzureGCPSageMakerAzure MLVertex AI

Preferred Qualifications

Technical (Nice-to-have)

RESTful APIsFastAPIDockerCI/CDGitcloud securityauthenticationscalabilityguardrailsdeep neural network architectures

Key Responsibilities

•Design, develop and implement data-driven solutions tailored to client challenges, leveraging predictive models and AI technologies to deliver business value.
•Consult and guide clients by defining AI use cases, validating ideas through proof of concepts (POCs) and deploying scalable production-ready systems.
•Build and maintain end-to-end AI systems, with focus on scalability, observability and continuous optimization of model performance using MLOps principles.
•Develop multi-agent and AI workflows, built from scratch or using low-code tools, that reliably orchestrate data, tools, and context into production-grade solutions.
•Architect robust and modular backend services, applying SOLID principles to ensure maintainability, testability, and seamless integration of AI components into broader software ecosystems.
•Design, document, and develop RESTful or GraphQL APIs that serve as the interface between AI workflows and end-user applications.
•Work closely with back-end engineers, front-end developers, DevOps, strategists and clients, taking a leading role in aligning efforts and delivering impactful solutions.
•Communicate complex technical solutions clearly to both technical and non-technical stakeholders, including progress updates, demos and presentations.

AI EngineerAdvertising ServicesAnalystMarketingConsultingMachine LearningPythonCloud PlatformsBudapestFull-time

Key Responsibilities

•Design, develop and implement data-driven solutions tailored to client challenges, leveraging predictive models and AI technologies to deliver business value.

•Consult and guide clients by defining AI use cases, validating ideas through proof of concepts (POCs) and deploying scalable production-ready systems.

•Build and maintain end-to-end AI systems, with focus on scalability, observability and continuous optimization of model performance using MLOps principles.

•Develop multi-agent and AI workflows, built from scratch or using low-code tools, that reliably orchestrate data, tools, and context into production-grade solutions.

•Architect robust and modular backend services, applying SOLID principles to ensure maintainability, testability, and seamless integration of AI components into broader software ecosystems.

•Design, document, and develop RESTful or GraphQL APIs that serve as the interface between AI workflows and end-user applications.

•Work closely with back-end engineers, front-end developers, DevOps, strategists and clients, taking a leading role in aligning efforts and delivering impactful solutions.

•Communicate complex technical solutions clearly to both technical and non-technical stakeholders, including progress updates, demos and presentations.