AI Provider of Business Solutions

The company is a provider of business solutions that optimize business processes in various fields through the use of advanced language models and generative AI:

• Customer Experience: Advanced AI technologies create personalized, interactive customer experiences that go far beyond traditional chatbots. Real-time analytics enable individual responses to customer inquiries and optimize support.
• Knowledge Management: Companies benefit from structured, AI-powered knowledge databases that provide precise search results and context-based information. This improves decision-making and optimizes the use of internal data resources.
• Process Automation: AI-driven analytics and machine learning models identify inefficiencies and suggest targeted optimization measures. Whether predictive analytics, decision-making, or strategic planning – generative AI makes business processes more efficient.

The company integrates cutting-edge AI technologies into its solutions:

• LLM Integration for Businesses: Powerful language models support decision-making processes and increase operational efficiency.
• Semantic Search: Vector-based search technologies enable precise queries that no longer rely on traditional keyword searches.
• Development of Autonomous AI Agents: Self-learning AI systems optimize daily business processes and reduce manual workload.
• AI-Powered Text Generation: Automated content creation improves corporate communication and process management.
• Model Customization and Reinforcement Learning: Targeted model adjustments and feedback-driven learning continuously enhance AI models.
• Creative Image Generation: AI supports creative processes by generating high-quality images for marketing and design.

The company develops tailored solutions for various industries:

• FinTech: AI-powered analytics for better investment decisions and automated fraud detection.
• EdTech: Personalized learning platforms, adaptive testing methods, and intelligent educational analytics.
• Healthcare: AI for virtual health assistants, personalized treatment plans, and automated patient management.
• Manufacturing: Predictive maintenance, quality control, and automation of production processes.
• E-Commerce & Retail: AI-driven product recommendations, optimized inventory management, and data-driven marketing strategies.
• Telecommunications: AI-powered network analytics and enhanced customer interactions.

To implement client solutions, the company follows a systematic approach:

• Consulting: Identifying company requirements and AI solution potential.
• Feasibility Analysis: Evaluating existing data and defining project goals.
• MVP Development: Creating an initial prototype and testing phase to validate the AI application.
• End-to-End Integration: Scalable AI implementation with seamless system integration.
• Scaling: Optimizing infrastructure for large data volumes and parallel requests.
• Maintenance & Further Development: Regular updates, monitoring, and adjustments based on user feedback.

The company uses the following software, among others:

• LLM & AI: Vertex AI, OpenAI
• Frontend: React JS, Next JS, Svelte, Angular, Flutter, Nuxt JS, React Native, Svelte Kit, Vue JS
• Backend: Django, ExpressJS, FastAPI, Flask, Go
• DevOps: Ansible, Docker, GitHub Actions, GitLab, Jenkins, Kubernetes, Terraform
• Testing: Jenkins, Manual Testing, Postman, Pytest, Selenium
• Databases: Cassandra, Chroma, MariaDB, MongoDB, MySQL, Oracle, PineconeDB, PostgreSQL, SQLite
• IoT and Robotics: Arduino, Raspberry Pi

Hiring Process Platform

The company operates a subscription-based platform aimed at HR departments to make the recruitment and application process more efficient. It analyzes applicant profiles using AI-powered data processing and matching algorithms to suggest the best talents to employers.

By leveraging automation and data-driven analysis, the platform enables a more objective assessment of skills and qualifications. Applicants receive personalized job recommendations, while companies save time and make better hiring decisions.

Another key feature is the optimization of application processes through AI-powered interviews and competency analyses. The platform offers adaptive tests and evaluation systems that accurately assess applicants' potential. This allows companies to benefit from faster, more precise, and fairer talent acquisition, while applicants receive more targeted career opportunities.

Internship Responsibilities

During your internship, you can contribute in the following areas and expand your knowledge:

Prompt Engineering & NLP Optimization

• Developing and optimizing AI prompts for applications in education, automation, and customer interaction.
• Improving chatbot and virtual assistant responses using few-shot and zero-shot learning techniques.
• Creating specialized prompt libraries for programming, language learning, and industry-specific AI solutions.

AI Model Development & Testing

• Assisting in training and fine-tuning AI models for education, healthcare, and business.
• Enhancing predictive analytics, decision-making, and personalization in AI systems.
• Evaluating AI-generated content for accuracy, fairness, and relevance.

Data Collection & Analysis

• Collecting, cleaning, and analyzing data to optimize AI models.
• Improving AI systems for market analysis, sentiment analysis, and trend forecasting.
• Applying AI techniques to image recognition, language processing, and NLP-based solutions.

Research & Development

• Exploring the latest advancements in AI applications for education, healthcare, and automation.
• Investigating machine learning models, AI ethics, and strategies for reducing bias.
• Experimenting with multimodal AI that combines text, image, and audio processing.

AI-Powered Automation & Content Creation

• Developing AI-powered tools for digital learning, virtual tutoring, and interactive content.
• Utilizing AI for video editing, automated writing, and dynamic content creation.
• Implementing AI automation for tasks such as data entry, email generation, and scheduling.

Application Process

You should either be at least in your second year of a technical degree program or you should by some other means have acquired relevant knowledge in Python or prompt engineering.

If this applies to you, you can first submit an inquiry and email us your CV/resume and a short motivation letter in English. Your internship will then either be confirmed immediately, or, if the company requests, an online interview will take place, for which we will prepare you.

Once you have been accepted by the company, you will book your program participation.