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Labrigart.Design GmbH

Artificial Intelligence Internship – Automation, AI Innovation

Labrigart.Design GmbH

. Assess the company and its teams to identify AI opportunities .

Posted 11/6/2026internshipBiberach an der Riß • GermanyEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing AI workflows and solutions, utilizing tools such as n8n and OpenAI. Strong ability to analyze processes, identify automation opportunities, and communicate effectively with teams.

Highest-signal resume keywords
AI Workflow DevelopmentAPI IntegrationPython ProgrammingJavaScript ProgrammingN8n Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI TechnologiesAutomation SolutionsDatabase ManagementTechnical Problem SolvingLLM ComparisonCustom AI EnvironmentsSelf-Hosting AI ModelsFunctional Solution ImplementationResearch and Testing of AI ModelsAI Agent Development
Soft Skills
Strong Communication SkillsCuriosityPerseveranceIndependent WorkProblem-Solving
Tools & Technologies
N8nOpenAIClaudeDockerSupabase
Industry Keywords
AI OpportunitiesWorkflows AnalysisAutomationTechnical IntegrationsTraining Sessions

Tech Stack

Tools & technologies
DockerJavaScriptPython

About the role

Key responsibilities & impact
  • Assess the company and its teams to identify AI opportunities
  • Analyze existing workflows and processes
  • Speak with teams to identify time-consuming activities and opportunities for automation
  • Develop ideas for more efficient and intelligent ways of working
  • Develop AI workflows using n8n, OpenAI, Claude, and other AI technologies
  • Build AI agents capable of handling tasks autonomously
  • Connect APIs, databases, tools, and different systems
  • Develop and implement functional solutions that are genuinely used in practice
  • Research and test new AI models, tools, and technologies
  • Set up AI servers and custom AI environments
  • Experiment with self-hosting and local AI models
  • Compare different LLMs
  • Experiment with databases, APIs, and technical integrations
  • Present new AI tools and workflows to teams
  • Conduct short training sessions and workshops
  • Explain the practical benefits of AI
  • Support the rollout of developed solutions

Requirements

What you’ll need
  • Genuine interest in and enthusiasm for AI
  • Curiosity and willingness to try new technologies
  • Ability to work independently and develop your own ideas
  • Enjoyment of solving technical problems
  • Perseverance and willingness to learn from setbacks
  • Strong communication skills and the ability to explain ideas clearly
  • Initial experience with n8n, Python, JavaScript, LLMs, APIs, Docker, Supabase, or AI agents is a plus, but not required
  • A degree in computer science, business informatics, business administration, or another field is welcome, but is not a mandatory qualification

Benefits

Comp & perks
  • Budget for AI tools, APIs, servers, and experimentation
  • Freedom instead of micromanagement
  • A genuine trial-and-error mindset
  • Dynamic, collaborative team with minimal hierarchy
  • Direct collaboration with the team and company leadership
  • Access to relevant AI tools and modern technologies
  • Flexible hybrid working
  • Opportunity to build your own projects and solutions
  • Learn through practical, real-world projects
  • Insights into exciting e-commerce brands and established companies
  • Long-term opportunity to help shape the company’s AI integration