Bist du bereit, die Vertriebswelt zu verändern und in einem zukunftsorientierten Team mitzuwirken?
Wir kombinieren strategische Beratung mit operativer Unterstützung, um die Maschinenbau- und Zulieferindustrie zu revolutionieren. Unsere Vision ist es, Vertriebsprozesse zu optimieren und nachhaltiges Wachstum zu erzielen. Hier hast du die Möglichkeit, aktiv an der Einführung maßgeschneiderter Lösungen mitzuwirken. Werde Teil unserer Mission, und gestalte mit uns die Zukunft des digitalen Vertriebs!
What we bring to the table
- The chance to help shape a real product from the start - tech ownership from week 1
- The chance to become a founding engineer or CTO if it's a good fit
- A small, super-motivated team with a strong vision, sales excellence, and a clear market position
- Fair pay as a working student (10-20 hours/week) or full-time intern (at least 2 months)
- 100% remote work and flexible working hours
- Lots of learning potential - in AI, start-up operations, sales, product development, and tech leadership
- Developing an AI-supported MVP for a sales platform with a focus on complex B2B products
- Building a retrieval-augmented generation (RAG) system with vector databases and LLM connectivity
- Integration of open language models (e.g., LLaMA 3, Mistral, Command R+) to generate pitches, use cases, and demos
- Development of ML components for pattern recognition in customer data, lead behavior, and use cases
- Support in building a modular, scalable architecture (backend, API, databases)
- Designing MVP-like frontends (e.g., with React/Next.js) for visualizing results
- Collaborating with founders, SDRs, and external data scientists-you'll be right in the thick of things
- You are a registered student in a master's or advanced bachelor's program in computer science, software engineering, data science, or a comparable field
- Strong programming skills in Python (e.g., FastAPI, LangChain, ML toolkits) and/or JavaScript/TypeScript
- Experience with APIs, databases, Git, Docker - ideally also with vector databases (e.g., Weaviate, Pinecone, Qdrant)
- Initial practical experience in the field of LLMs, embeddings, prompt engineering, or RAG is a big plus
- Interest in or experience with pattern recognition/machine learning, e.g., with scikit-learn, PyTorch, spaCy, or similar libraries
- You have a product-driven mindset - MVP first, clean iteration, quick validation
- You are communicative, pragmatic, and love ownership: "Give me the problem, I'll ship the solution."
- Very good English skills (German is a plus, but not a must)
Unser Jobangebot Working Student AI - Python / RAG / Home Office (m/f/d)klingt vielversprechend?
Bei unserem Partner Workwise ist eine Bewerbung für diesen Job in nur wenigen Minuten und ohne Anschreiben möglich. Anschließend kann der Status der Bewerbung live verfolgt werden. Wir freuen uns auf eine Bewerbung über Workwise.