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AI Engineer

Job

  • Level
    Experienced
  • Job Field
    Software, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 53.802 € Gross/Year
  • Location
    Berlin, Dortmund
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop innovative Generative AI solutions and intelligent agentic systems, design RAG pipelines, and communicate directly with clients to tailor AI solutions to their needs.

    Job Technologies

    Your role in the team

    • As an AI Engineer, you will play a crucial role in driving innovation and implementing cutting-edge Generative AI solutions and intelligent agentic systems.
    • Designing and implementing end-to-end Generative AI solutions, AI agents, and RAG (Retrieval-Augmented Generation) pipelines to address business challenges and opportunities.
    • Zusammenarbeit mit funktionsübergreifenden Teams, um Anforderungen zu verstehen, technische Expertise bereitzustellen und skalierbare sowie robuste KI-Lösungen zu liefern.
    • Conducting research and evaluation of emerging AI models, agentic frameworks, and development kits.
    • Working independently on Proof of Concepts (PoC) to validate and showcase the feasibility of proposed solutions.
    • Conducting direct client communication to understand their needs and tailor AI-driven solutions accordingly.

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    Our expectations of you

    Qualifications

    • Proficiency in building Generative AI and Agentic applications at scale, with expertise in using agentic frameworks, vector databases, grounding, and other relevant concepts.
    • Extensive knowledge of Cloud AI offerings on one of the Hyperscalers (GCP, AWS or Azure), including ready-to-use AI services, AutoML approaches, and custom model development.
    • Strong and assertive communication skills.
    • Passion for keeping up with industry trends and advancements in Generative AI and agentic systems.
    • Knowledge of Docker and Kubernetes.
    • Vertrautheit mit CI/CD-Prozessen für MLOps/AIOps.
    • A/B testing expertise for AI models and applications.

    Experience

    • 3+ years of experience in Applied AI or Machine Learning in the industry.
    • Direct experience or strong familiarity with agent development (e.g., LangGraph, Google Agent Development Kit (ADK), Agno).
    • Proven experience in research and evaluation of emerging AI technologies, models, and frameworks.
    • Hands-on experience with the Google Cloud AI/ML stack (e.g., Vertex AI, Gemini Models, Vector Search).
    • Experience with AI evaluation frameworks (e.g., RAGAs, LangSmith), writing integration tests, and establishing robust validation strategies for Generative AI and agentic applications.

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    Benefits

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    Job Locations

    • Location Dortmund

      Hansastraße 30

      44137 Dortmund

      Germany

    • Location Berlin

      Kronenstraße 63

      10117 Berlin

      Germany

    This is your employer

    NETCONOMY

    NETCONOMY

    Graz, Madrid, Belgrade, Novi Sad, Pörtschach, Graz, Graz, Zürich, Wien, Dortmund, Amsterdam, Berlin

    NETCONOMY is a leader in designing digital platforms and customer experience innovations, helping companies to identify and successfully capitalize on digital potential. Our flexible, scalable solutions are based on the latest technologies from SAP, Google Cloud, and Microsoft Azure. With over 20 years of experience and nearly 500 experts across Europe, we help our clients increase their innovation power and expand their core businesses into the digital world.

    Description

  • Company Size
    250+ Employees
  • Founding year
    2000
  • Language
    English
  • Company Type
    Digital Agency
  • Working Model
    Hybrid
  • Industry
    Internet, IT, Telecommunication
  • Dev Reviews

    by devworkplaces.com

    Total

    (2 Reviews)
    4.0
    • Engineering

      3.8
    • Career Growth

      3.7
    • Workingconditions

      4.2
    • Culture

      4.5
    Show All Dev Reviews
    Logo NETCONOMY

    AI Engineer

    Salary
    from 53.802 € Gross/Year
    Location
    Berlin, Dortmund
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders
    Easy Apply
    Easy Apply

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