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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
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