Job
- Level
- Experienced
- Location
- Pforzheim
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, System
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will manage our AI infrastructure, deploy local LLMs, and assist in integrating AI into existing processes through automation and benchmarking.
Job Technologies
Your role in the team
- Manage AI infrastructure: Together with the team, you will take care of our GPU servers, from drivers and CUDA to Docker, monitoring, and updates. You ensure everything runs stably.
- Launching local LLMs: You test new open-source models, deploy the best ones with vLLM, and make them available for our applications via LiteLLM.
- Making AI accessible within the company: You oversee LibreChat, our enterprise-wide AI chat, from user management and updates to integrating new models and tools.
- Measuring instead of guessing: With your own benchmarks, you compare models and configurations, for example in terms of quality, speed, and resource requirements. This way, you find out which model is best suited for each use case.
- Bridge into the processes: You support our teams in integrating AI into existing workflows. If you're interested, you also build LLM pipelines and automations yourself, because no one knows the platform as well as you.
- Perspective & Responsibility: You start with as much ownership as your experience warrants: with support from the team or directly independently. Step by step, you take on more, up to the technical leadership of our AI platform.
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Our expectations of you
Education
- Your background: You have completed a degree in STEM, e.g., (Business) Informatics, or an apprenticeship, such as as an IT specialist for system integration (m/f/d), or you are about to. A career change, for example from system administration or software development, is also very welcome.
Qualifications
- What sets you apart: You work in a structured manner, enjoy getting to the bottom of problems, and ask questions if you get stuck. You explain technical contexts clearly, even to colleagues without an IT background.
- Language: You speak business-fluent German (at least C1) and are comfortable working with English technical documentation.
Experience
- Motivation comes first: You want to understand how AI works under the hood and enjoy trying out new things. This curiosity is just as important to us as experience, because in the LLM environment, we all learn continuously.
- Technical know-how: You have some experience with Linux and Docker and can automate small tasks using Python or Bash. Knowledge of vLLM, LiteLLM, the NVIDIA GPU stack, or monitoring tools is a plus but not a must.
- AI affinity: Ideally, you have already run an LLM locally, e.g., with Ollama on your own computer. If not, you bring the enthusiasm to learn exactly that. Private projects and your homelab count as real experience with us.
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What we offer
- We offer you a secure job in a family-oriented working environment. Correspondingly, you will receive a permanent employment contract.
- You work 40 hours per week. In addition to 30 days of vacation and special leave for particular occasions, we offer the flexibility to arrange our working hours through a flexitime model and to work remotely on a daily basis.
- You are welcome to park your vehicle in our free employee parking lot. We are also easily accessible by public transportation such as bus or train. If you would like to cycle to work in the future, our company bike leasing program might be of interest to you.
- For your well-being, our subsidized cafeteria provides meals, and free mineral water is available. Your health is our most valuable asset, which is why we have implemented an occupational health management program. Additionally, you will receive an attractive employee discount when shopping at BADER.
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Benefits
Work-Life-Integration
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
BRUNO BADER GmbH + Co. KG
Über Kataloge sowie Online-Shops vertreiben wir rund 20.000 Artikel aus den Bereichen Mode, Wohnen, Schmuck und Haushalt. Unsere langjährigen Erfahrungen nutzen wir generationsübergreifend, um neue Herausforderungen zu meistern und die modernsten Standards des internationalen Versandhandels zu erfüllen. Das Unternehmen wächst und investiert in die Zukunft, deshalb freuen wir uns, wenn auch Sie bald unser tatkräftiges Team unterstützen.
Description
- Founding Year
- 1929
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
AI Platform Engineer - LLMOps
- Location
- Pforzheim
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
