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Developer - Intelligent Search(m/w/x)
Developing AI Search features using LLMs and RAG systems for SAP's cloud platform. Extensive Python, FastAPI, and search application experience required. Constant learning and skill growth opportunities.
Requirements
- University degree in Computer Science or Engineering
- Hands-on experience with search applications (OpenSearch, Elasticsearch, Coveo, similar)
- In-depth knowledge of search applications and features
- Extensive experience in Python, FastAPI, LangChain
- Experience with Node.js, JavaScript, TypeScript
- Hands-on experience building RAG systems
- Familiarity with Kubernetes and Docker
- Passion, resilience, initiative, dedication to quality
- Proficiency in German and English communication
Tasks
- Contribute to shaping SAP's AI Search service
- Join a global, agile delivery team
- Develop AI Search features using LLMs
- Design and implement RAG systems
- Set up search solutions for LoB-specific needs
- Optimize search result relevance
- Enhance search algorithms
- Gather content from various source systems
- Integrate AI Search into agentic AI scenarios
- Integrate AI Search into websites and platforms
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- OpenSearch
- Elasticsearch
- Coveo
- Python
- FastAPI
- LangChain
- Node.js
- JavaScript
- TypeScript
- Kubernetes
- Docker
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Health and well-being focus
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Informal Culture
- Inclusion culture
Flexible Working
- Flexible working models
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Developer - Intelligent Search(m/w/x)
Developing AI Search features using LLMs and RAG systems for SAP's cloud platform. Extensive Python, FastAPI, and search application experience required. Constant learning and skill growth opportunities.
Requirements
- University degree in Computer Science or Engineering
- Hands-on experience with search applications (OpenSearch, Elasticsearch, Coveo, similar)
- In-depth knowledge of search applications and features
- Extensive experience in Python, FastAPI, LangChain
- Experience with Node.js, JavaScript, TypeScript
- Hands-on experience building RAG systems
- Familiarity with Kubernetes and Docker
- Passion, resilience, initiative, dedication to quality
- Proficiency in German and English communication
Tasks
- Contribute to shaping SAP's AI Search service
- Join a global, agile delivery team
- Develop AI Search features using LLMs
- Design and implement RAG systems
- Set up search solutions for LoB-specific needs
- Optimize search result relevance
- Enhance search algorithms
- Gather content from various source systems
- Integrate AI Search into agentic AI scenarios
- Integrate AI Search into websites and platforms
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- OpenSearch
- Elasticsearch
- Coveo
- Python
- FastAPI
- LangChain
- Node.js
- JavaScript
- TypeScript
- Kubernetes
- Docker
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Health and well-being focus
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Informal Culture
- Inclusion culture
Flexible Working
- Flexible working models
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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