Senior AI Scientist (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Scientist (Agentic AI): Architecting and deploying agent-based systems for AI-native products using LLMs, autonomous agents, and RAG with an accent on dynamic orchestration, self-evolving prompts, and real-world actions. Focus on building RAG pipelines, APIs for tool integration, and AI-driven feedback loops to create adaptive systems that solve problems at scale.
Berlin, Germany (hybrid: 2 days/week in Berlin office). Relocation to Berlin supported.
Company
World’s pioneering local delivery platform operating in 65+ countries, headquartered in Berlin, listed on Frankfurt Stock Exchange.
What you will do
- Architect and deploy agent-based systems using LangGraph, PydanticAI, LangChain, or similar frameworks
- Build and optimize RAG pipelines including chunking, embeddings, and vector search
- Design self-evolving prompt systems and dynamic LLM-driven decision flows
- Develop APIs and services enabling models to interact with tools and data
- Monitor, evaluate, and automate model feedback using AI-based simulations
- Collaborate with product and engineering teams to ship production AI features
Requirements
- 2+ years in applied AI/ML engineering with real-world deployments
- Strong Python and frameworks like LangChain, LlamaIndex, or Haystack
- Deep knowledge of RAG, LLM mechanics, prompt design, and chaining
- Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding models
- Ownership mindset: figure out blocks and deliver quality working code iteratively
Nice to have
- Open-source models (LLaMA2, Mixtral, Mistral) or custom inference
- Judge models, feedback loops, human-in-the-loop architecture
- Test harnesses with agent personas or synthetic users
- Prompt injection mitigation, output validation, agent safety
- Shipping AI in web or mobile products
Culture & Benefits
- Hybrid model: 2 days/week in Berlin campus for collaboration
- 27+ days holiday, increasing with tenure
- €1,000 educational budget, language courses, Udemy, parental support
- Health checkups, gym/bicycle subsidy, meditation
- Employee share plan, sabbatical bank, public transport discount, pension, insurance
- Meal vouchers, food discounts, relocation support to Berlin
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