Dein persönlicher KI-Karriere-Agent
Senior AI Scientist (Agentic AI)(m/w/x)
Architecting agent-based systems using LangGraph and Claude SDK. 2+ years applied AI/ML engineering with real-world deployments required. 27 days holiday, 1000 EUR educational budget.
Anforderungen
- 2+ years applied AI/ML engineering with real-world deployments
- Strong Python skills and frameworks (LangChain, LlamaIndex, Haystack)
- Deep knowledge of RAG, LLM mechanics, prompt design, chaining
- Experience with vector databases (Pinecone, Weaviate, FAISS)
- Experience with embedding models
- Ownership and problem-solving ability
- Fast-paced work with focus on quality and impact
- Belief in working code over perfect plans and iteration
- Open-source model experience (LLaMA2, Mixtral, Mistral)
- Custom inference stacks experience
- Model judging, feedback loops, or human-in-the-loop architecture
- Experience designing test harnesses with agent personas or synthetic users
- Familiarity with prompt injection mitigation
- Familiarity with output validation
- Familiarity with agent safety
- Background shipping AI in real-world web or mobile products
Aufgaben
- Architect and deploy agent-based systems
- Use LangGraph, PydanticAI, LangChain, Google ADK, Claude SDK
- Build and optimize RAG pipelines
- Implement smart chunking, embedding strategies, vector search
- Design self-evolving prompt systems
- Create dynamic decision flows driven by LLMs
- Develop APIs for model-to-tool communication
- Optimize data and system integration
- Monitor and evaluate model feedback loops
- Automate AI-based simulation and testing
- Collaborate with product and engineering teams
- Ship AI-native features, not just prototypes
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- LangChain
- LlamaIndex
- Haystack
- RAG
- LLM
- Pinecone
- Weaviate
- FAISS
- LLaMA2
- Mixtral
- Mistral
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Sonstige Zulagen
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Firmenfahrrad
- Bicycle subsidy
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life & accident insurance
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
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Senior AI Scientist (Agentic AI)(m/w/x)
Architecting agent-based systems using LangGraph and Claude SDK. 2+ years applied AI/ML engineering with real-world deployments required. 27 days holiday, 1000 EUR educational budget.
Anforderungen
- 2+ years applied AI/ML engineering with real-world deployments
- Strong Python skills and frameworks (LangChain, LlamaIndex, Haystack)
- Deep knowledge of RAG, LLM mechanics, prompt design, chaining
- Experience with vector databases (Pinecone, Weaviate, FAISS)
- Experience with embedding models
- Ownership and problem-solving ability
- Fast-paced work with focus on quality and impact
- Belief in working code over perfect plans and iteration
- Open-source model experience (LLaMA2, Mixtral, Mistral)
- Custom inference stacks experience
- Model judging, feedback loops, or human-in-the-loop architecture
- Experience designing test harnesses with agent personas or synthetic users
- Familiarity with prompt injection mitigation
- Familiarity with output validation
- Familiarity with agent safety
- Background shipping AI in real-world web or mobile products
Aufgaben
- Architect and deploy agent-based systems
- Use LangGraph, PydanticAI, LangChain, Google ADK, Claude SDK
- Build and optimize RAG pipelines
- Implement smart chunking, embedding strategies, vector search
- Design self-evolving prompt systems
- Create dynamic decision flows driven by LLMs
- Develop APIs for model-to-tool communication
- Optimize data and system integration
- Monitor and evaluate model feedback loops
- Automate AI-based simulation and testing
- Collaborate with product and engineering teams
- Ship AI-native features, not just prototypes
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- LangChain
- LlamaIndex
- Haystack
- RAG
- LLM
- Pinecone
- Weaviate
- FAISS
- LLaMA2
- Mixtral
- Mistral
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Sonstige Zulagen
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Firmenfahrrad
- Bicycle subsidy
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life & accident insurance
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
Über das Unternehmen
Delivery Hero
Branche
IT
Beschreibung
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
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