Software-Entwickler – RAG, Knowledgraph & Agentische Systeme (m/w/d)
Tasks
- Benchmark RAG and agent solutions
- Build evaluation logic for RAG
- Collaborate with platform engineering on shared SDKs
- Create chunking concepts for context preparation
- Design agentic multi step workflows
- Develop RAG pipelines
- Develop prompting strategies
- Document technical architecture
- Implement embeddings and indexing
- Implement orchestration logic for agents
- Integrate LLMs into existing platforms
- Integrate knowledge graph for structured context
- Optimize performance for RAG and agent architectures
- Optimize retriever components
- Reduce costs for RAG and agent systems
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Benchmarking | Chunking | Context engineering | Cost Optimization | Documentation | Embeddings | Graph technologies | Java | Knowledge graph | Language Models | Large Language Models | Multi-step reasoning | Orchestration | Performance optimization | Prompt engineering | Python | RAG | Retrieval systems | SDKs | TypeScript | Vector Databases
Education
N/A
Roles
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