Delivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DEDelivery Hero
Senior AI Scientist (Agentic AI)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
Nejo KI-Zusammenfassung
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
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Delivery Hero erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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DEDelivery Hero
Senior AI Scientist (Agentic AI)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
Nejo KI-Zusammenfassung
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
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Delivery Hero erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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.
Noch nicht perfekt?
- Delivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Data Scientist - (Query Intelligence, Global Discovery)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - akirolabs
Senior AI Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Simon-Kucher
Senior AI Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Ada Health GmbH
Senior AI Engineer(m/w/x)
VollzeitRemoteSeniorBerlin