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Senior AI Scientist (Agentic AI)(m/w/x)
Architecting agent-based systems using LangGraph and Claude SDK for a global delivery platform. 2+ years applied AI/ML engineering with real-world deployments required. 27 days holiday, 1000 EUR educational budget.
Requirements
- 2+ years applied AI/ML engineering with real-world deployments
- Strong Python skills and experience with 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 and problem-solving ability
- Fast-paced work with focus on quality and impact
- Belief in working code and iterative development
- Open-source model experience (LLaMA2, Mixtral, Mistral) or custom inference stacks
- Model judging, feedback loops, or human-in-the-loop architecture experience
- Experience designing test harnesses with agent personas or synthetic users
- Familiarity with prompt injection mitigation, output validation, or agent safety
- Background in shipping AI in real-world web or mobile products
Tasks
- 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
- Integrate models with data and other systems
- Monitor and evaluate model feedback loops
- Automate model testing using AI-based simulation
- Collaborate with product and engineering teams
- Ship AI-native features, not just prototypes
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangChain
- LlamaIndex
- Haystack
- RAG
- LLM
- Pinecone
- Weaviate
- FAISS
- LLaMA2
- Mixtral
- Mistral
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
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- Senior AI Scientist (Agentic AI)Senior AI Scientist (Agentic AI) at Delivery Hero
Senior AI Scientist (Agentic AI)(m/w/x)
Architecting agent-based systems using LangGraph and Claude SDK for a global delivery platform. 2+ years applied AI/ML engineering with real-world deployments required. 27 days holiday, 1000 EUR educational budget.
Requirements
- 2+ years applied AI/ML engineering with real-world deployments
- Strong Python skills and experience with 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 and problem-solving ability
- Fast-paced work with focus on quality and impact
- Belief in working code and iterative development
- Open-source model experience (LLaMA2, Mixtral, Mistral) or custom inference stacks
- Model judging, feedback loops, or human-in-the-loop architecture experience
- Experience designing test harnesses with agent personas or synthetic users
- Familiarity with prompt injection mitigation, output validation, or agent safety
- Background in shipping AI in real-world web or mobile products
Tasks
- 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
- Integrate models with data and other systems
- Monitor and evaluate model feedback loops
- Automate model testing using AI-based simulation
- Collaborate with product and engineering teams
- Ship AI-native features, not just prototypes
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangChain
- LlamaIndex
- Haystack
- RAG
- LLM
- Pinecone
- Weaviate
- FAISS
- LLaMA2
- Mixtral
- Mistral
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
About the Company
Delivery Hero
Industry
IT
Description
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
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