Every role a digital company needs, including the ones AI created.

Frontend

Roles

Frontend developer, UI engineer, web developer

Typical stacks / tools

React, TypeScript, Angular, Vue, Fluent UI, Tailwind

Backend

Roles

Backend developer, API engineer, integration engineer

Typical stacks / tools

Python, Java, .NET, Node.js, REST/GraphQL, SAP/ERP integration

Full-stack & mobile

Roles

Full-stack developer, mobile developer (iOS, Android, cross-platform)

Typical stacks / tools

React Native, Flutter, Swift, Kotlin

Data engineering

Roles

Data engineer, BI developer, analytics engineer

Typical stacks / tools

dbt, SQL, PostgreSQL, Azure Data, Power BI

Data science & ML

Roles

Data scientist, ML engineer, forecasting and optimisation specialist

Typical stacks / tools

Python, scikit-learn, forecasting ensembles, OR-Tools

AI engineering

Roles

AI engineer, agent engineer, prompt & evaluation engineer, RAG engineer, MLOps engineer

Typical stacks / tools

LLM APIs via EU endpoints, MCP, vector databases, evaluation frameworks

Quality

Roles

QA engineer, test-automation engineer, AI quality & evaluation specialist

Typical stacks / tools

Playwright, Cypress, pytest, regression suites, reference sets

DevOps & cloud

Roles

DevOps engineer, cloud engineer, SRE, security engineer

Typical stacks / tools

Azure, Terraform, containers, CI/CD, monitoring

Design

Roles

UX/UI designer, product designer

Typical stacks / tools

Figma, design systems

Leadership

Roles

Project manager (German-speaking), scrum master, product owner, tech lead, solution architect

Typical stacks / tools

Two-week sprints, steering cadence, controlling board

AI operations

Roles

Data annotation (text, image, audio, video), proofreading & validation, AI-enabled process operations, multilingual support

Typical stacks / tools

Six-Sigma-inspired quality process, error rates under 1 %