Werkstudent:in LLM Prototyping & Integration (m/w/d)

📍 Job Overview

Job Title: Werkstudent:in LLM Prototyping & Integration (m/w/d)

Company: Bauer Kirch

Location: Pascalstraße 57, 52076 Aachen, Nordrhein-Westfalen, Germany

Job Type: Praktikum/Werkstudium (Internship/Working Student)

Category: Revenue Operations, Sales Operations, GTM Operations (Focus on AI/LLM Integration for Process Optimization)

Date Posted: June 11, 2026

Experience Level: Entry-Level (0-2 years)

Remote Status: Hybrid

🚀 Role Summary

• This role is focused on the practical application of Large Language Models (LLMs) and generative AI for process digitalization, optimization, and automation within a software development context.

• The Werkstudent:in will be instrumental in developing prototypes and fine-concepts for AI-driven solutions, bridging the gap between high-level requirements and tangible system implementations.

• A key aspect involves integrating and testing LLMs, coupled with the development of web front-ends to showcase these innovative solutions to stakeholders.

• The position emphasizes collaborative work within agile teams, fostering an environment of continuous feedback and iterative improvement for enhanced operational efficiency.

📝 Enhancement Note: While the title is "Werkstudent:in LLM Prototyping & Integration," the responsibilities and required skills strongly suggest a role that contributes to operational efficiency through AI, aligning with GTM Operations principles by automating and optimizing processes that impact go-to-market functions. The focus on "process digitalization /-optimierung und /-automatisierung" directly supports operational excellence and efficiency gains.

📈 Primary Responsibilities

• Develop initial prototypes and detailed concepts for generative AI systems focused on digitizing, optimizing, and automating business and software development processes.

• Translate high-level requirement descriptions into granular technical specifications and "think through" the complete lifecycle of these requirements.

• Integrate and rigorously test Large Language Models (LLMs), including advanced concepts like Retrieval-Augmented Generation (RAG) and Model-Centric Programming (MCP).

• Develop functional prototypes and user-facing web front-ends to effectively demonstrate and present the capabilities of the developed AI solutions.

• Actively participate in agile team ceremonies, providing and receiving constructive feedback to iteratively enhance solutions and improve overall process efficiency.

• Collaborate with team members to refine user experience and functional aspects of LLM integrations, ensuring solutions meet defined operational goals.

• Conduct initial testing and validation of integrated LLMs and front-end applications to identify and resolve potential issues before wider deployment.

📝 Enhancement Note: The responsibilities clearly indicate a hands-on role in building and testing AI solutions, directly impacting process efficiency. The emphasis on "Feinkonzepte entwickeln" and "Anforderungen 'zu Ende denken'" highlights a requirement for analytical and strategic thinking applied to operational problems.

🎓 Skills & Qualifications

Education: Currently enrolled as a student in Business Informatics, (University of Applied Sciences) Computer Science, or a comparable degree program.

Experience: Relevant coursework and/or practical experience in AI prompting and understanding of various LLM models and providers.

Required Skills:

• Demonstrated experience with AI prompting techniques and a solid understanding of different LLM models and their providers.

• Knowledge of advanced AI concepts such as Retrieval-Augmented Generation (RAG) and Model-Centric Programming (MCP).

• Practical experience with Open WebUI for LLM interface development.

• Experience leveraging low-code/no-code platforms, specifically n8n, for workflow automation and integration.

• Proficiency in a scripting language, with a strong preference for Python or Node.js, for backend development and integration tasks.

• Excellent comprehension skills for quickly grasping and internalizing new technical and business processes.

• Ability to think independently, approach tasks systematically, and contribute proactively to problem-solving.

• Strong team-player mentality with excellent communication skills, essential for collaborative agile environments.

• Very good command of the German language, both spoken and written, for effective communication within the team and with stakeholders. Preferred Skills:

• Previous experience in developing prototypes for AI-driven applications.

• Familiarity with agile development methodologies and project management tools.

• Understanding of UI/UX principles for front-end development.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.

📝 Enhancement Note: The requirement for specific tools like Open WebUI and n8n, alongside programming languages like Python/Node.js, indicates a need for practical, hands-on technical skills directly applicable to building and integrating operational tools and workflows. The mention of RAG and MCP suggests a focus on sophisticated LLM applications that can enhance data retrieval and processing for operational insights.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of any developed prototypes or proof-of-concepts related to AI, LLMs, or process automation.

• Examples of workflow designs or automations created using low-code/no-code tools like n8n.

• Code samples (e.g., Python or Node.js scripts) demonstrating scripting capabilities, ideally related to API integration or data processing.

• Documentation or presentation materials for any projects that involved conceptualizing and developing technical solutions.

• Evidence of problem-solving through structured approaches, such as outlining a process you optimized or a technical challenge you overcame. Process Documentation:

• While formal process documentation might not be extensive at this level, candidates should be prepared to discuss how they would approach documenting workflows and system interactions for the AI prototypes they develop.

• Ability to articulate the steps taken in developing a prototype, from initial requirement understanding to final presentation.

• Understanding of the iterative process of developing AI solutions, including feedback loops and refinement stages.

📝 Enhancement Note: For an intern/working student role, the portfolio is less about formal, polished deliverables and more about demonstrating potential, learning ability, and practical application of skills. The emphasis should be on showcasing projects that align with the core responsibilities: AI prototyping, LLM integration, and process optimization through technology.

💵 Compensation & Benefits

Salary Range: As this is a "Werkstudent:in" position (working student), compensation will be paid hourly. Based on industry standards for student roles in Germany, particularly in tech-focused positions in regions like North Rhine-Westphalia, an estimated range of €14 - €18 per hour is typical. This rate often depends on the specific year of study, prior experience, and the complexity of the role.

Benefits:

• Flexibility: Free choice of working hours and the option for home office, allowing for excellent work-life balance and consideration for exam periods.

• Job Security & Growth: Permanent employment prospects after graduation are a shared goal, indicating a potential long-term career path.

• Attractive Compensation: A competitive hourly wage for a working student position.

• Personal & Professional Development: Opportunities for knowledge sharing, skill enhancement, and individual growth within the company.

• Team Engagement: Participation in sports and leisure activities, team events, and social gatherings.

• Family-Friendly Culture: The company emphasizes support for combining family life with professional responsibilities.

Working Hours: Flexible working hours are offered, with a typical full-time equivalent of 40 hours per week when considering the scope of the role. The actual hours will be agreed upon based on study schedules and project needs, with a strong emphasis on accommodating academic commitments.

📝 Enhancement Note: The salary estimate is based on typical German "Werkstudent" rates for technical roles in 2024-2025. The benefits listed are directly extracted from the job description, highlighting the company's commitment to employee well-being and development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development and Digital Transformation Consulting. Bauer Kirch specializes in creating tailored, cross-industry software solutions for medium-sized businesses, corporations, and institutions.

Company Size: The description mentions "over 35 years" of experience and an "Innovations" business unit, suggesting a well-established company. While not explicitly stated, the emphasis on agile teams and direct interaction with founders implies a structure that balances established processes with a dynamic, innovative approach, likely in the medium-sized enterprise category.

Founded: Over 35 years ago, with founders Christian Bauer and Kirch still actively involved, indicating a stable, privately-owned company with a strong foundation and a clear vision.

Team Structure:

• The role is within the "Innovations" business unit, focusing on AI functionality.

• Work is conducted in agile teams, suggesting a collaborative and iterative development environment.

• Direct interaction with founders is mentioned, indicating a relatively flat hierarchy and open communication channels.

• The team likely comprises software developers, AI specialists, and project managers who work closely together. Methodology:

• Agile development methodologies are employed, emphasizing flexibility and rapid iteration.

• Focus on process digitalization, optimization, and automation through innovative solutions, particularly generative AI.

• A strong emphasis on practical implementation, prototyping, and delivering tangible solutions.

• Data-driven decision-making is implied through the use of AI and the need for testing and feedback.

Company Website: https://www.bauer-kirch.de/

📝 Enhancement Note: The company's long history combined with a focus on AI and innovation suggests a dynamic environment where established expertise meets cutting-edge technology. This blend is crucial for operations roles, as it implies a need for both robust process understanding and adaptability to new technological solutions.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level position designed for students ("Werkstudent:in"), offering foundational experience in AI integration and process optimization. It serves as an excellent stepping stone for individuals looking to build a career in technology, software development, or operations roles that leverage AI.

Reporting Structure: The candidate will report to a team lead or project manager within the "Innovations" business unit. Direct collaboration with team members and potential interaction with the company founders are highlighted, indicating a supportive and accessible reporting line.

Operations Impact: While this role is focused on prototyping and development, the direct application of generative AI for "process digitalization /-optimierung und /-automatisierung" means the work has a clear impact on improving the efficiency and effectiveness of internal operations and potentially client-facing solutions. Successful prototypes can lead to optimized workflows, reduced manual effort, and enhanced decision-making capabilities.

Growth Opportunities:

• Skill Specialization: Deepen expertise in LLMs, AI prompting, RAG, MCP, and specific tools like Open WebUI and n8n.

• Technical Proficiency: Enhance programming skills in Python and Node.js, and gain experience in web front-end development.

• Process Improvement Acumen: Develop a strong understanding of how AI can be applied to solve complex business problems and optimize operational workflows.

• Agile Methodologies: Gain practical experience working within agile development teams.

• Industry Exposure: Learn about diverse software solutions and digital transformation projects across various industries.

• Potential for Full-Time Employment: The company expresses a desire for long-term relationships and aims for student-to-permanent transitions, offering a clear career path post-graduation.

📝 Enhancement Note: The growth opportunities are significant for a student role, offering a blend of technical skill development and exposure to real-world operational challenges solved with AI. The prospect of a permanent role post-study is a key differentiator for attracting ambitious students.

🌐 Work Environment

Office Type: The company offers a hybrid work model, combining the benefits of in-office collaboration with the flexibility of remote work. This suggests a modern, adaptable work environment designed to accommodate diverse working preferences.

Office Location(s): The primary office is located at Pascalstraße 57, 52076 Aachen, Germany. Aachen is known for its strong academic and technological landscape, providing a conducive environment for innovation and talent acquisition.

Workspace Context:

• Collaborative Environment: The emphasis on agile teams and direct collaboration suggests a workspace designed to foster teamwork, brainstorming, and knowledge sharing.

• Technology Access: As a software development company, expect access to modern development tools, hardware, and infrastructure necessary for AI prototyping and integration.

• Innovation Hub: The "Innovations" business unit implies a dynamic and forward-thinking workspace where new ideas are encouraged and explored.

• Flexibility: The hybrid model allows for focused individual work at home and collaborative sessions or team building in the office.

Work Schedule: Flexible working hours are a key benefit, allowing students to manage their academic responsibilities alongside their work commitments. This flexibility is crucial for ensuring a healthy work-life balance and accommodating demanding study periods like exams.

📝 Enhancement Note: The hybrid model and flexible hours are particularly attractive for students, indicating a company that values employee well-being and understands the demands of academic life. This can translate into a more motivated and productive team.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely involves a review of your application, focusing on your academic background, relevant skills, and any prior project experience.

• Technical Interview/Discussion: Expect to discuss your understanding of LLMs, AI concepts (RAG, MCP), your experience with specific tools (Open WebUI, n8n), and your programming skills (Python/Node.js). This may include hypothetical scenarios or problem-solving questions related to process optimization.

• Portfolio Presentation: You may be asked to present examples of your work, such as prototypes, code snippets, or documentation from academic projects. Focus on demonstrating your thought process, problem-solving approach, and technical execution.

• Team/Cultural Fit Interview: An opportunity to discuss your motivation, teamwork abilities, and how you align with the company's agile and innovative culture. This is also where you'll learn more about the team and the specific projects you'd be involved in.

• Founder Interaction: Given the company structure, you might have an opportunity to interact with the founders, offering a unique chance to understand the company's vision and values.

Portfolio Review Tips:

• Curate Selectively: Focus on projects that best demonstrate your skills in AI prompting, LLM integration, scripting (Python/Node.js), and ideally, any experience with workflow automation or prototyping.

• Explain Your Process: For each project, clearly articulate the problem you were trying to solve, your approach, the tools you used, and the outcome. For AI projects, explain your prompting strategy and any challenges encountered.

• Showcase Technical Skills: Include code samples (e.g., GitHub link or snippets) that highlight your proficiency in required languages.

• Demonstrate Understanding: For AI concepts like RAG or MCP, be prepared to explain them in your own words and how they could be applied.

• Highlight Collaboration: If any projects involved teamwork, mention your role and how you collaborated with others.

Challenge Preparation:

• AI Prompting Exercises: Be ready to discuss how you would prompt an LLM to achieve specific outcomes related to process analysis or automation.

• Conceptual Design: You might be asked to sketch out a conceptual design for an AI-powered tool to solve a given operational problem.

• Technical Q&A: Prepare for questions about Python/Node.js syntax, API integrations, and basic web development concepts.

📝 Enhancement Note: The emphasis on a portfolio for a student role suggests that practical application and demonstrated learning ability are highly valued. Candidates should prepare to showcase their initiative and technical aptitude through project examples.

🛠 Tools & Technology Stack

Primary Tools:

• LLM Interaction: Open WebUI (for developing and testing LLM interfaces), various LLM models and providers (understanding their capabilities and differences).

• Workflow Automation: n8n (a key tool for low-code/no-code workflow automation and integration).

• Programming Languages: Python and Node.js (for scripting, backend development, and integration tasks).

Analytics & Reporting:

• While not explicitly mentioned, expect to use basic reporting features within n8n or custom scripts for monitoring prototype performance.

• Data analysis will likely involve interpreting LLM outputs and testing results. CRM & Automation:

• n8n can integrate with various systems, so familiarity with API concepts is beneficial.

• The focus is on automating internal processes and building AI-driven features rather than direct CRM management.

📝 Enhancement Note: The specific mention of Open WebUI, n8n, Python, and Node.js indicates a modern and pragmatic technology stack focused on rapid prototyping and integration of AI within business processes.

👥 Team Culture & Values

Operations Values:

• Innovation & Technology Enthusiasm: A strong drive to explore and implement cutting-edge AI technologies, particularly LLMs, to solve real-world problems.

• Process Optimization: A core belief in leveraging technology to streamline, improve, and automate business processes for greater efficiency.

• Agile & Collaborative: A commitment to working effectively within agile teams, valuing open communication, feedback, and iterative development.

• Customer Focus (Internal & External): Building solutions that meet the needs of internal teams and potentially external clients, ensuring practical value and usability.

• Continuous Learning: A culture that encourages and supports the acquisition of new skills and knowledge, essential in the rapidly evolving AI landscape.

Collaboration Style:

• Team-Oriented: Emphasis on working together, sharing knowledge, and supporting team members to achieve common goals.

• Iterative & Feedback-Driven: Solutions are developed and refined through continuous feedback loops, ensuring alignment and improvement.

• Proactive & Independent: While collaborative, individuals are encouraged to think independently, take initiative, and contribute proactively to projects.

• Direct Communication: The company structure suggests open and direct communication channels, including with founders, fostering transparency.

📝 Enhancement Note: The culture appears to be a healthy mix of technical innovation, practical application, and strong teamwork, which is ideal for roles focused on building and implementing new operational solutions.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in LLM technology and identifying the most effective tools and techniques for specific problems.

• Translating Concepts to Code: Effectively bridging the gap between abstract AI concepts and concrete, functional prototypes and integrations.

• Balancing Academic and Work Commitments: Managing time effectively to excel in both studies and work, especially during peak academic periods.

• Integrating LLMs into Existing Workflows: Understanding how to seamlessly integrate AI capabilities into current business processes without causing disruption.

Learning & Development Opportunities:

• Hands-on AI/LLM Experience: Gaining practical, in-depth experience with state-of-the-art AI technologies and tools.

• Prototyping & Development Skills: Enhancing skills in scripting, web development, and rapid prototyping.

• Process Analysis & Optimization: Developing a keen eye for identifying operational bottlenecks and applying technology-driven solutions.

• Agile Project Management: Learning and applying agile methodologies in a real-world development setting.

• Mentorship: Opportunities to learn from experienced developers and AI specialists within the "Innovations" team.

• Career Progression: Potential pathway to a full-time role within Bauer Kirch, specializing in AI, software development, or operations.

📝 Enhancement Note: The challenges presented are typical for roles at the forefront of AI integration, offering significant learning opportunities for ambitious students. The company's explicit goal of converting interns to full-time employees makes these growth opportunities particularly compelling.

💡 Interview Preparation

Strategy Questions:

• "How would you approach building a prototype for an AI-powered customer support chatbot using an LLM?" (Focus on your process, tool selection, and prompting strategy).

• "Describe a situation where you had to learn a new technology or concept quickly. How did you approach it?" (Demonstrates learning agility).

• "Imagine you're given a vague requirement for an AI tool to automate report generation. What are your first steps?" (Tests your ability to translate requirements and think through processes). Company & Culture Questions:

• "What interests you about Bauer Kirch and our 'Innovations' business unit specifically?" (Show your research and genuine interest).

• "How do you see yourself contributing to an agile team environment?" (Highlight your collaborative and proactive nature).

• "What are your thoughts on the ethical considerations of using generative AI in business processes?" (Shows critical thinking). Portfolio Presentation Strategy:

• Concise Storytelling: For each project, tell a clear story: Problem -> Solution -> Your Role -> Outcome.

• Highlight Technical Depth: Be ready to discuss the code, the specific AI models used, and the logic behind your design choices.

• Demonstrate Process Thinking: Explain why you chose certain tools or approaches and how they contributed to the operational goal.

• Be Prepared for Q&A: Anticipate questions about your technical decisions, challenges, and potential improvements.

📝 Enhancement Note: Preparing for these types of questions will help candidates demonstrate not only their technical skills but also their strategic thinking, adaptability, and cultural fit within Bauer Kirch's innovative environment.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on the Bauer Kirch Personio portal.

• Tailor Your Resume: Highlight relevant academic projects, programming skills (Python, Node.js), experience with AI concepts (prompting, LLMs, RAG), and any familiarity with tools like n8n or Open WebUI. Quantify achievements where possible.

• Prepare Your Portfolio: Curate 1-3 key projects that best showcase your skills in AI, scripting, or process automation. Be ready to discuss your role, the technical implementation, and the outcomes. Consider including anonymized code snippets or links to public repositories.

• Research Bauer Kirch: Understand their core business (custom software solutions), their "Innovations" unit, and their agile approach. Familiarize yourself with their website and any recent news or projects.

• Practice Your Pitch: Be ready to articulate your interest in AI, process optimization, and why you are a good fit for a working student role in this dynamic environment. Practice explaining your portfolio projects concisely.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.