9 days ago

AI Plattform Engineer

Emagine

Hybrid
Full Time
€95,000
Hybrid

Job Overview

Job TitleAI Plattform Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€95,000
LocationHybrid

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Job Description

About the Role

For a long-term Artificial Intelligence project, an experienced consultant (m/w/d) is sought to serve as an AI Plattform Engineer. This role involves the establishment, ongoing development, and stable operation of a modern on-premise language model platform.

This engagement takes place within the environment of a large public IT service provider.

Your Responsibilities:

  • Establish and maintain a scalable on-premise language model platform for generative AI.
  • Set up, document, and manage a RAG-Chat application in container environments (e.g., OpenShift).
  • Integrate user authentication and modular extension capabilities for the platform.
  • Ensure stable platform operation, including resource monitoring, log analysis, and error resolution.
  • Develop data and analysis pipelines for data extraction, transformation, enrichment, and storage in vector and NoSQL databases.
  • Build specialized knowledge databases (data modeling, indexing, semantic search).
  • Develop a central interface (API) for connecting chatbots, browser extensions, IDEs, and Office tools to SQL, NoSQL, and vector databases.
  • Document all technical activities and maintain close coordination with the project team.

Your Profile:

  • More than 8 years of project experience in Artificial Intelligence, demonstrable through project references.
  • At least 5 years of professional Python programming experience (data processing, AI, automation).
  • At least one completed practical project as an AI Plattform Engineer (e.g., building AI infrastructure, MLOps, GenAI platforms).
  • Ability to develop and operate on-premise AI solutions (GPU environments, container platforms).
  • Experience in building and operating a RAG-Chat solution and developing data pipelines.
  • Knowledge of modern AI frameworks, including vLLM, vector databases, and container orchestration.
  • Advantage: Experience in IT projects for public administration.
  • Very good German and English language skills, both written and spoken.

Desired (Nice-to-Have):

  • Experience with On-Premise AI Systems (Dev & Ops).
  • Experience with RAG solutions.
  • Experience with data and analysis pipelines.
  • Knowledge of modern AI frameworks, including vLLM.
  • Project knowledge in financial administration.

Other Details

  • Duration: Framework agreement until 2030
  • Work Location: On-site presence expected less than one day per month, Remote/Germany

In Summary

This role is ideal for you if you:

  • Have experience with Artificial Intelligence and have successfully implemented complex AI projects.
  • Have experience with RAG solutions.
  • Possess strong Python programming skills (min. 5 years).
  • Have experience building data pipelines and working with vector and NoSQL databases.
  • Possess knowledge of modern AI frameworks, including vLLM.

Key skills/competency

  • AI Platform Development
  • Generative AI
  • On-premise Solutions
  • Language Models
  • RAG-Chat Applications
  • Python Programming
  • OpenShift
  • vLLM
  • Vector Databases
  • MLOps

Tags:

AI Platform Engineer
AI platform development
Generative AI
on-premise solutions
Language models
RAG solutions
Python development
OpenShift
vLLM
Vector databases

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How to Get Hired at Emagine

  • Research emagine's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Highlight 8+ years AI experience, 5+ years Python proficiency, and demonstrated success in on-premise GenAI/MLOps projects relevant to public IT.
  • Showcase public sector relevance: Emphasize any experience with IT projects within public administration, a key advantage for this AI Plattform Engineer role.
  • Prepare for technical depth: Be ready to discuss specific expertise in vLLM, vector databases, container orchestration (OpenShift), and RAG solution architecture during interviews.
  • Master the interview: Practice articulating your experience in building scalable AI platforms, developing data pipelines, and ensuring stable, monitored operations.

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