Berg Search
Staff AI Engineer
Berg Search WorkFromHome
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    Talent Acquisition & Employer Branding @ Berg Search | People in Tech

    Join one of Europe’s largest EdTech companies as a Staff AI Engineer.

    On behalf of our client, a leading EdTech platform, we're looking for a Staff AI Engineer to join their growing AI Engineering team.

    In this role, you’ll work on complex, high-impact projects that improve internal workflows and enhance the customer experience through large-scale AI automation.

    This is a full-time role (40 hours/week) based in Germany or the UK. You can work in a hybrid setup in any of their office locations (Munich or London).

    What you’ll do

    • Lead the development of AI-powered tools that reduce manual work and increase operational efficiency
    • Build LLM-based applications using tools like GPT-4, Claude, Mistral, LangChain, AutoGen, and CrewAI
    • Design and deploy scalable LLM architectures using Python and FastAPI, with cloud platforms like AWS, GCP, or Azure
    • Integrate LLMs with APIs (OpenAI, Anthropic, Hugging Face), databases (PostgreSQL, Pinecone, Weaviate, ChromaDB), and internal systems
    • Optimize systems using tools like vLLM, DeepSpeed, LoRA, and FSDP for better cost-performance and scalability
    • Implement AI observability and safety tools such as Guardrails AI, Prometheus, Grafana, and LangSmith
    • Collaborate with leadership, engineering, and operations teams to align AI solutions with business goals and integrate into MLOps pipelines (Kubernetes, Ray Serve, BentoML, CI/CD)

    What you bring

    • 5+ years of relevant work experience
    • Entrepreneurial mindset and passion for continuous learning
    • Experience leading AI projects from concept to production
    • Strong Python skills and hands-on experience deploying systems in cloud environments
    • A solid understanding of LLMs and vector databases (e.g. FAISS, Pinecone)
    • Familiarity with prompt engineering, fine-tuning LLMs, and multi-agent tools like AutoGen or CrewAI
    • Confidence working independently on complex, open-ended problems
    • Strong communication skills and a collaborative mindset

    What you’ll get

    • 33 days off per year
    • Fully flexible hours
    • Free access to all in-house learning platforms, plus funding for a full tech course of your choice

    Seniority level

    • Seniority level

      Mid-Senior level

    Employment type

    • Employment type

      Full-time

    Job function

    • Industries

      Education

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Stelleninformationen
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

    Development & IT
  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    19 Aug 2025
  • Standort:

    WorkFromHome
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