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AI Product Engineer (m/w/d)

Internolix

Seligenstadt · On-site Mid Level 3w ago

About the role

About

AI and new technologies excite you – and you already have initial practical experience with LLMs, AI workflows, or your own prototypes? For our sister company Brezzels GmbH, we are looking for reinforcement in the field of Applied AI starting immediately.

Become part of our team and actively shape the growth of Brezzels!

Your Profile

  • You already have experience as a developer, e.g., in JavaScript, TypeScript, Python, etc.
  • You have a technical understanding of APIs, data flows, and system architecture.
  • Initial contact with AI/LLMs in a professional context is desirable, but not strictly required.
  • You have a profound interest in AI – private projects, experiments, or your own builds are also relevant.
  • You understand prompt design, AI workflows, or tool calling – or want to develop further in these areas.
  • You possess a high willingness to learn and the intrinsic motivation to develop further in the AI field.
  • You are enthusiastic about new technologies and rapid iteration.
  • You have an understanding of data-driven product development and iterative optimization.

What is important to us:

We are not looking for a pure theoretician. A technical foundation and genuine enthusiasm for AI are crucial. If you engage with LLMs, workflows, or agents privately and are eager to bring this energy into a product, you will fit in well with us.

Responsibilities

  • You will be responsible for the implementation of AI use cases.
  • You will develop functional prototypes, e.g., with n8n, API integrations, or your own scripts.
  • You will be responsible for the conception and implementation of LLM workflows.
  • You will design prompts and systematically optimize AI outputs.
  • You will be responsible for building AI workflows, including tool use and orchestration.
  • You will work closely with Product, Engineering, and potentially Customer teams.
  • You will transfer validated prototypes into production-ready features.
  • You will develop your own AI services that are integrated into features and workflows.
  • You will use product and usage data to continuously improve features and workflows.

We Offer

  • You will have the opportunity to directly influence key AI features of our product.
  • You will work in a team where AI is a central part of the strategy.
  • You will implement ideas quickly – instead of lengthy concept phases – and have room for experiments, prototyping, and pragmatic solutions.
  • You will work closely with Product and Engineering without unnecessary hierarchies.
  • You will have the opportunity to use modern AI technologies early and productively.
  • You will take ownership of features – from the initial idea to going live – and focus on what creates real added value for our product and our users.

We look forward to receiving your comprehensive application documents, stating your earliest possible start date.

Requirements

  • Du hast bereits Erfahrung als Entwickler, z.B. in JavaScript, TypeScript, Python etc.
  • Du bringst technisches Verständnis für APIs, Datenflüsse und Systemarchitektur mit.
  • Du hast ein fundiertes Interesse an AI – auch private Projekte, Experimente oder eigene Builds sind relevant.
  • Du verstehst Prompt Design, AI-Workflows oder Tool-Calling – oder möchtest Dich darin weiterentwickeln.
  • Du besitzt eine hohe Lernbereitschaft und die intrinsische Motivation, Dich im AI-Bereich weiterzuentwickeln.
  • Du begeisterst Dich für neue Technologien und schnelle Iteration.
  • Du bringst Verständnis für datengetriebene Produktentwicklung und iterative Optimierung mit.

Responsibilities

  • Du verantwortest die Implementierung von AI-Use-Cases.
  • Du entwickelst funktionale Prototypen, z.B. mit n8n, API-Integrationen oder eigenen Skripten.
  • Du bist für die Konzeption und Umsetzung von LLM-Workflows zuständig.
  • Du gestaltest Prompts und optimierst systematisch die AI-Outputs.
  • Du bist für den Aufbau von AI-Workflows inkl. Tool-Use und Orchestrierung verantwortlich.
  • Du arbeitest eng mit Product, Engineering und ggf. Customer Teams zusammen.
  • Du überführst validierte Prototypen in produktionsreife Features.
  • Du entwickelst eigene AI-Services, die in Features und Workflows eingebunden werden.
  • Du nutzt Produkt- und Nutzungsdaten, um Features und Workflows kontinuierlich zu verbessern.

Skills

APIAIJavaScriptLLMPythonTypeScript

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