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LLM context architecturesystem topologyinvariant modelingdeterministic serializationlogic orchestrationstate recoveryPythonRustJSON

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Location: Germany (B-W)
Remote: Yes (100% Remote only)
Willing to relocate: No
Technologies: LLM Context Architecture, System Topology, Invariant Modeling, Deterministic Serialization, Logic Orchestration, State Recovery (Target stacks for AI: Python, Rust, JSON, etc.)
GitHub: https://github.com/Recursive-Logic-Core
Résumé/CV: Available upon request via email
Role: AI Systems Architect (System Topology, Specification & Logic Design)
Focus: Eliminating LLM failure modes (context rot, attention drift). I operate purely at the architectural and logic-orchestration level (I do not write manual syntax/code; AI generates implementation while I audit logic).
Projects:
- SLAP: https://github.com/Recursive-Logic-Core/SLAP
- DriftBreak: https://github.com/Recursive-Logic-Core/DriftBreak
- Context: https://github.com/Recursive-Logic-Core/llm-context-architecture
- Forensics: https://github.com/Recursive-Logic-Core/system-analysis
Terms: German employment contract & benefits (EoR welcome)
Languages: German (native), English (fluent written, async-first)
Notice Period: 2 months to end of month
Email: [email protected]

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