Junior Fullstack Engineer - Fokus: Rapid Prototyping & AI (m/f/d)

📍 Job Overview

Job Title: Junior Fullstack Engineer - Focus: Rapid Prototyping & AI (m/f/d)

Company: pdm solutions GmbH

Location: Berlin, Germany

Job Type: Full-Time

Category: Software Engineering / GTM Technology Operations

Date Posted: 2026-02-22

Experience Level: Junior (0-2 years)

Remote Status: On-site

🚀 Role Summary

• This role centers on rapid fullstack development for new software products, with a strong emphasis on creating clickable prototypes and Minimum Viable Products (MVPs).

• A significant aspect involves integrating modern Artificial Intelligence (AI) models, including Large Language Models (LLMs) and APIs, to deliver data-driven, user-centric solutions for Small and Medium-sized Enterprises (SMEs).

• The position requires a pragmatic "maker mindset" to accelerate the development lifecycle, moving from validated problems to online pilot solutions in days rather than months.

• Candidates will leverage AI-assisted coding tools to maximize workflow efficiency and speed up the iterative testing process in a real-world market environment.

📝 Enhancement Note: While the core role is Junior Fullstack Engineer, the emphasis on rapid prototyping, AI integration, and delivering MVPs for SMEs positions this role within the broader GTM (Go-To-Market) technology operations space. The ability to quickly translate market feedback into functional prototypes is crucial for validating product-market fit and informing Go-To-Market strategies.

📈 Primary Responsibilities

• Fullstack Development: Design, build, and deploy web-based SaaS pilots and MVPs from scratch, encompassing frontend, backend, and API development using a modern technology stack.

• AI Model Integration: Seamlessly integrate contemporary AI models, such as LLM APIs, HuggingFace models, and frameworks like LangChain, to imbue products with intelligent capabilities for SME clients.

• AI-Assisted Coding: Utilize cutting-edge AI coding tools (e.g., GitHub Copilot, Cursor, Cline) to substantially accelerate personal coding workflows and enhance code quality and speed.

• Agile Iteration & Collaboration: Work in close partnership with a Testing Architect and Team Lead, rapidly adapting architecture and features based on user feedback and pilot data analysis.

• Rapid Prototyping: Translate validated problems into functional, clickable prototypes and MVPs within compressed timelines, prioritizing speed and market validation.

• SaaS Experimentation: Develop and deploy AI-based SaaS experiments to test market viability and gather crucial data for product iteration and improvement.

📝 Enhancement Note: The primary responsibilities highlight a unique blend of core software engineering with an operations-centric focus on speed, market validation, and iterative product development. This role is less about long-term system maintenance and more about rapid deployment and testing, a key function in validating GTM strategies for new software products.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in computer science or a related field, demonstrated through academic coursework, intensive side projects, or hackathons, is highly valued. Emphasis is placed on practical application and demonstrable skills.

Experience: Practical, hands-on experience in fullstack web development is essential, gained through previous employment, substantial personal projects, or active participation in hackathons. This experience should reflect an ability to build functional web applications.

Required Skills:

• Fullstack Web Development: Demonstrated experience building web applications with both frontend and backend components.

• JavaScript/TypeScript Proficiency: Strong command of modern JavaScript and/or TypeScript, including best practices and common patterns.

• Modern Frontend Frameworks: Excellent knowledge of React and/or Next.js; familiarity with Svelte or Vue.js is also beneficial.

• Backend Development Basics: Comfort and experience with Node.js, building RESTful APIs, and working with modern database solutions (e.g., Supabase, Firebase).

• AI/ML Interest: A genuine passion for current AI developments and a desire to work with AI tools and APIs.

• Pragmatic Mindset: A "maker mindset" characterized by a focus on delivering functional solutions quickly, a willingness to experiment, and a bias for action over perfection.

• Language Proficiency: Fluent German and good English communication skills.

Preferred Skills:

• Supabase/Firebase Expertise: Deeper experience with specific BaaS (Backend-as-a-Service) platforms like Supabase or Firebase.

• AI/ML Integration Experience: Prior experience integrating LLM APIs, HuggingFace models, or frameworks like LangChain into applications.

• AI-Assisted Coding Tools: Familiarity and effective use of tools such as GitHub Copilot, Cursor, or Cline.

• Containerization: Basic understanding of containerization technologies like Docker for deployment.

• Cloud Platforms: Familiarity with cloud services (AWS, GCP, Azure) for application deployment.

📝 Enhancement Note: The emphasis on a "maker mindset" and rapid iteration suggests that while clean code is valued, the ability to deploy quickly and gather feedback is paramount. This is a common trait in GTM operations roles where speed to market and validation are critical. The preferred skills in AI integration and specific BaaS platforms indicate a focus on building modern, scalable, and intelligent applications efficiently.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Rapid Prototyping Examples: Showcase projects that demonstrate the ability to quickly build functional prototypes or MVPs, highlighting the speed of development and iterative refinement.

• Fullstack Application Demos: Include examples of fullstack applications developed, clearly outlining the frontend, backend, and API components, and the technologies used.

• AI Integration Case Studies: Present any projects where AI models or APIs were integrated, explaining the problem addressed, the AI solution implemented, and the outcomes achieved.

• Process Optimization Examples: If possible, include examples where you've optimized development workflows or used tools to increase coding efficiency.

Process Documentation:

• Workflow Design & Optimization: Be prepared to discuss how you approach designing and optimizing development workflows for speed and efficiency.

• System Implementation: Demonstrate an understanding of implementing new technologies and systems, particularly within a rapid development context.

• Performance Analysis: Show an ability to analyze the performance of deployed applications and iterate based on data and user feedback.

📝 Enhancement Note: For this role, the portfolio should strongly emphasize speed, iteration, and practical application of technology. Instead of extensive documentation, focus on tangible results and rapid development cycles. Demonstrating the ability to quickly build, test, and iterate on prototypes using modern stacks and AI tools will be key.

💵 Compensation & Benefits

Salary Range: Based on junior fullstack engineer roles in Berlin with a focus on modern tech stacks and AI, a competitive salary range is estimated between €45,000 - €60,000 annually. This range accounts for the junior experience level, the specific technical demands of AI integration and rapid prototyping, and the cost of living in Berlin.

Benefits:

• Direct Impact: Your code directly reaches real users in market tests, providing immediate feedback and validation opportunities.

• Startup Spirit: Work within a small, agile, and growing unit in Berlin, characterized by modern tools and a lack of corporate bureaucracy.

• Learning Curve: Gain hands-on experience with cutting-edge SaaS stacks and state-of-the-art AI technologies.

• Ownership: Opportunity to contribute your own technical ideas and influence product development from day one.

• Fair Salary & Performance Bonus: Receive a competitive base salary with the potential for additional recognition through performance bonuses tied to successful pilot launches and MVP achievements.

Working Hours: The role is based on a standard 40-hour work week, with an emphasis on efficient and productive work within defined hours, reflecting the agile and fast-paced nature of the company's product development process.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for junior fullstack engineers in major German tech hubs like Berlin, adjusted for the specialized skills in AI and rapid prototyping. The benefits align with typical startup offerings, emphasizing impact, learning, and direct contribution, which is highly attractive to ambitious junior engineers. The performance bonus directly links individual contribution to business outcomes, a common practice in GTM-focused roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company operates within the Software Development and Technology sector, specifically focusing on creating new software products for Small and Medium-sized Enterprises (SMEs).

Company Size: pdm solutions GmbH is likely a growing startup or a dedicated innovation unit within a larger organization, indicated by the "small, growing unit" and "Startup Spirit" benefits. This suggests a nimble environment with direct access to decision-makers.

Founded: While the founding date isn't explicitly stated, the company's focus on rapid prototyping and MVPs implies a modern, agile operational philosophy.

Team Structure:

• The team appears to be small and cross-functional, comprising a Junior Fullstack Engineer, a Testing Architect, and a Team Lead.

• This structure promotes direct collaboration and rapid decision-making, minimizing hierarchical layers.

Methodology:

• Data-Driven & User-Centric: Product development is guided by data from market tests and a focus on user needs.

• Rapid Iteration: Emphasis on speed, with solutions developed in days rather than months, prioritizing clickable prototypes and MVPs.

• Agile Development: Embraces modern agile principles for quick adaptation and continuous improvement.

• AI Integration: Proactively incorporates AI technologies to enhance product capabilities and efficiency.

Company Website: http://pdm-solutions.com

📝 Enhancement Note: The team structure and methodology point to a "lean startup" or "innovation lab" environment. This is highly relevant for operations professionals who thrive on agility, direct impact, and the ability to influence product direction, especially in the early stages of GTM.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Junior Fullstack Engineer, offering an entry point into a specialized area of software development focused on rapid product validation and AI integration. It's a hands-on technical role with direct exposure to GTM product development cycles.

Reporting Structure: The Junior Fullstack Engineer will report to a Team Lead and work closely with a Testing Architect, indicating a collaborative and supportive reporting structure focused on rapid iteration and product delivery.

Operations Impact: The engineer's work directly impacts the company's ability to validate new product ideas and test market hypotheses quickly. By building functional prototypes and MVPs, they provide crucial data for strategic GTM decisions, helping to de-risk new product launches and optimize go-to-market strategies.

Growth Opportunities:

• Technical Skill Advancement: Deepen expertise in modern fullstack technologies (Next.js, Node.js) and gain hands-on experience with cutting-edge AI models and integration frameworks (LangChain, LLMs).

• Rapid Prototyping Specialization: Develop advanced skills in rapid prototyping methodologies, turning ideas into market-ready solutions efficiently.

• Product Development Influence: With a "maker mindset" and "ownership," there's potential to significantly influence the technical direction and feature set of new products.

• Exposure to GTM Strategy: Gain insights into how technology development directly supports and informs go-to-market strategies through iterative testing and market feedback.

• AI Application Expertise: Become proficient in applying AI/ML technologies to solve real-world business problems for SMEs.

📝 Enhancement Note: This role offers a strong foundation for a career in product development, particularly in areas that bridge technology and GTM strategy. The emphasis on rapid iteration and AI provides a current and future-proof skill set, valuable for operations roles focused on product innovation and market entry.

🌐 Work Environment

Office Type: The role is on-site in Berlin, suggesting a physical office environment designed for collaboration and focused work, typical of a startup or innovation hub.

Office Location(s): The primary office is located in Berlin, Germany. Specific details about office amenities or accessibility would need to be confirmed directly, but Berlin is a well-connected European capital.

Workspace Context:

• Collaborative Environment: The team structure and "Startup Spirit" suggest an open and collaborative workspace where direct communication and teamwork are encouraged.

• Modern Tools & Technology: Access to state-of-the-art development tools, including AI-assisted coding platforms and modern SaaS stacks, is a key feature.

• Operations Team Interaction: Opportunities for close interaction with the Team Lead and Testing Architect, fostering a dynamic and responsive work environment focused on rapid product iteration.

Work Schedule: The standard 40-hour work week is complemented by a focus on efficiency and agility, meaning work is likely project-driven and outcome-oriented, allowing for flexibility within the overall framework when needed to meet rapid development cycles.

📝 Enhancement Note: The on-site requirement in Berlin, coupled with the startup culture, implies a dynamic and hands-on work environment. This is conducive to the rapid prototyping and AI integration required, fostering close team collaboration essential for fast-paced product development and GTM validation.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, focusing on demonstrated experience in fullstack development, AI interest, and the "maker mindset."

• Technical Assessment: Potential technical challenges or coding exercises, possibly focusing on rapid prototyping, API integration, or basic AI model interaction. This may include a live coding session or a take-home assignment.

• Portfolio Presentation: A crucial stage where you will present your portfolio, highlighting specific projects that showcase your fullstack capabilities, AI integration experience, and ability to iterate quickly.

• Team/Culture Fit Interview: Discussions with the Team Lead and potentially other team members to assess your fit with the startup culture, your collaborative style, and your enthusiasm for rapid product development and AI.

• Final Interview: A concluding interview to discuss your role within the team, growth potential, and alignment with the company's vision.

Portfolio Review Tips:

• Showcase Speed & Iteration: Prioritize projects where you developed solutions quickly or iterated based on feedback. Use timestamps or version history if possible to illustrate the rapid development process.

• Highlight Fullstack Integration: Clearly demonstrate your ability to connect frontend, backend, and databases. Explain the architecture and technology choices for each component.

• Emphasize AI Application: For AI-integrated projects, detail the specific problem, the AI models/APIs used, the implementation challenges, and the impact or insights gained. Use case studies to tell a compelling story.

• Demonstrate "Maker Mindset": Include side projects, hackathon entries, or contributions to open-source that show initiative, experimentation, and a bias for building functional solutions.

• Prepare for Technical Deep Dives: Be ready to discuss your code, architectural decisions, and problem-solving approaches for each project presented.

Challenge Preparation:

• Rapid Prototyping Scenarios: Prepare for challenges that involve quickly sketching out or building a basic functional prototype for a given problem. Focus on core functionality and user flow.

• API Integration Tasks: Expect tasks related to integrating with external APIs, potentially including AI/LLM APIs, to fetch or process data.

• Code Efficiency & Pragmatism: Be ready to discuss how you balance code quality with development speed, and demonstrate how you use tools to accelerate your workflow.

• AI Concept Application: Understand basic concepts of LLMs, prompt engineering, and how to integrate them using common frameworks.

📝 Enhancement Note: The emphasis on a portfolio review and technical challenges with a focus on speed and AI integration is critical. Candidates should prepare to demonstrate not just technical proficiency but also their ability to execute rapidly and pragmatically, aligning with the company's core operational philosophy. This preparation is key for roles that bridge engineering and GTM product validation.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend: Next.js (primary), React.js, potentially Svelte/Vue.js. Emphasis on modern JavaScript/TypeScript frameworks for efficient UI development.

• Backend: Node.js, with experience in building RESTful APIs.

• Database: Supabase (primary), Firebase, or similar modern BaaS (Backend-as-a-Service) solutions for rapid data management and backend services.

• AI Integration: LLM APIs (e.g., OpenAI), HuggingFace models, LangChain framework for orchestrating AI functionalities.

Analytics & Reporting:

• Data Analysis: While not explicitly detailed, expect to work with data generated from pilot tests. Familiarity with basic data analysis or dashboarding tools may be beneficial for interpreting results.

• Performance Monitoring: Tools to monitor the performance and uptime of deployed SaaS pilots.

CRM & Automation:

• Not Primary Focus: This role is focused on product development rather than direct CRM or sales automation management. However, understanding how products integrate with customer data platforms can be an advantage.

• Development Workflow Tools: Tools like Git, GitHub/GitLab, and potentially CI/CD pipelines for version control and automated deployments.

📝 Enhancement Note: The explicit mention of Next.js, Node.js, Supabase, and AI/LLM APIs defines the core technical stack. Proficiency in these areas is crucial. The "AI-Assisted Coding" also points to tools like GitHub Copilot being integrated into the daily workflow, highlighting a commitment to leveraging technology for efficiency.

👥 Team Culture & Values

Operations Values:

• Speed & Agility: A core value is the ability to move fast, iterate quickly, and adapt to market feedback. This drives the "days not months" approach.

• Pragmatism & Maker Mindset: Valuing practical solutions and the drive to build and test over theoretical perfection. "Hacking, trying out, and learning" are encouraged.

• Data-Driven Decision Making: Product development and iteration are guided by data from user testing and market pilots.

• Innovation & AI Forwardness: A strong emphasis on staying at the forefront of AI technology and finding practical applications for SMEs.

• Ownership & Impact: Employees are encouraged to take ownership of their work and understand its direct impact on product success and company growth.

Collaboration Style:

• Cross-Functional Integration: Close collaboration between engineering, testing, and leadership is essential for rapid iteration.

• Open Communication: A small, agile team likely fosters direct and transparent communication.

• Feedback Exchange: A culture of continuous feedback, both for product iteration and personal development, is implied by the agile approach.

• Experimentation Culture: Encouraging a willingness to try new approaches and technologies, with an understanding that not all experiments will succeed but all provide learning opportunities.

📝 Enhancement Note: The culture emphasizes a fast-paced, hands-on, and experimental approach to product development. This is highly relevant for engineers who want to see their work directly influence product strategy and GTM efforts, aligning with the agile principles often found in successful operations teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Speed and Quality: The primary challenge will be delivering functional, robust solutions rapidly without sacrificing essential quality, especially when integrating complex AI models.

• Rapid Technology Adoption: Keeping pace with the fast-evolving landscape of AI technologies and modern web development frameworks requires continuous learning.

• Translating Market Feedback: Effectively interpreting and acting upon user feedback and pilot data to drive meaningful product iterations can be challenging.

• Scalability of Prototypes: Ensuring that initial prototypes are built with a consideration for future scalability, even if not fully implemented initially.

Learning & Development Opportunities:

• AI & ML Specialization: Deepen expertise in applying AI/LLMs to solve business problems, becoming a go-to person for AI integration.

• Modern Stack Mastery: Gain extensive hands-on experience with leading-edge frontend (Next.js) and backend (Node.js) technologies, along with BaaS platforms.

• Product Development Lifecycle: Understand the full cycle of product ideation, rapid prototyping, market testing, and iteration from a technical perspective.

• GTM Strategy Contribution: Contribute technical expertise that directly informs and validates Go-To-Market strategies for new software products.

• Agile Methodologies: Hone skills in agile development, rapid iteration, and cross-functional teamwork.

📝 Enhancement Note: The challenges and growth opportunities are intrinsically linked to the company's core operational model of rapid product validation. This provides a steep learning curve and significant potential for career advancement in areas critical to modern tech companies, especially those focused on innovation and market entry.

💡 Interview Preparation

Strategy Questions:

• Rapid Prototyping Approach: "Describe your process for quickly building a functional prototype from a concept. What are the key considerations to ensure speed without complete disregard for future needs?" (Prepare to walk through a past project or hypothetical scenario, focusing on your decision-making process for rapid development.)

• AI Integration Strategy: "How would you approach integrating a new LLM API into an existing application to provide a specific feature, like customer support automation? What are the potential pitfalls, and how would you mitigate them?" (Focus on practical implementation, API calls, data handling, and user experience.)

• Balancing Pragmatism and Architecture: "Our philosophy is 'days not months.' How do you reconcile this with writing clean, maintainable, and potentially scalable code? Can you give an example of a trade-off you've made?" (Highlight your understanding of MVP principles and iterative development.)

Company & Culture Questions:

• Understanding the Mission: "What excites you about our focus on rapid prototyping and AI for SMEs?" (Research the company's website and values. Connect your passion for technology with their mission.)

• Teamwork and Collaboration: "How do you prefer to collaborate with team members like a Testing Architect or Team Lead, especially when iterating quickly under tight deadlines?" (Emphasize proactive communication, seeking feedback, and contributing to a shared goal.)

• Learning and Growth: "How do you stay up-to-date with the rapidly evolving fields of AI and fullstack development?" (Showcase your commitment to continuous learning and self-improvement.)

Portfolio Presentation Strategy:

• Storytelling: For each project, tell a concise story: the problem, your solution (emphasizing your role and the technologies used), the challenges, and the outcome/learnings.

• Visual Demonstrations: If possible, provide live demos or clear screenshots/recordings of your prototypes and applications.

• Technical Depth: Be prepared to dive into the technical details of your implementation, including architecture, code snippets (if appropriate), and why you made certain technology choices.

• Focus on Impact: Quantify impact where possible (e.g., "reduced development time by X%", "enabled testing of Y feature"). For prototypes, focus on the validation achieved.

• Highlight AI Usage: Clearly articulate your role in any AI integrations, the specific tools and models used, and the value they provided.

Challenge Preparation:

• Problem Solving: Practice breaking down problems into smaller, manageable parts and identifying the core functionality needed for a rapid MVP.

• Code Efficiency: Be ready to write concise, functional code under time pressure, demonstrating your familiarity with the core tech stack.

• AI Prompting: If challenged on AI, be ready to demonstrate basic prompt engineering skills for common LLM tasks.

📝 Enhancement Note: Preparation should heavily focus on demonstrating speed, pragmatism, and practical application of AI. Candidates should be ready to articulate their thought processes for rapid development and integration, a key operational skill for this role.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided join.com link, ensuring your CV and any supplementary materials are up-to-date.

• Portfolio Customization: Tailor your portfolio to highlight projects demonstrating rapid prototyping, fullstack development, and AI integration. Prioritize examples that showcase speed, iteration, and practical application of technology.

• Resume Optimization: Ensure your resume clearly articulates your experience with JavaScript/TypeScript, modern frameworks (React/Next.js), Node.js, databases (Supabase), and any exposure to AI/LLMs. Use keywords from the job description to align with ATS scanning.

• Interview Preparation: Practice articulating your experience through the lens of rapid development, AI application, and a "maker mindset." Prepare to walk through your portfolio with specific examples of your technical contributions and problem-solving approaches.

• Company Research: Familiarize yourself with pdm solutions GmbH's mission, their focus on SMEs, and their rapid prototyping methodology. Understand how your role contributes to their unique approach to product development and GTM validation.

⚠️ 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.

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