Location: Germany (Freiburg)

Remote: Yes (100% Remote only)

Willing to relocate: No

Technologies: LLM Context Architecture, Deterministic Serialization Protocols, Localhost Session Governance, State/Glossary Recovery, System Analysis, Logic Orchestration, Unstructured Data Forensics

GitHub Profile: https://github.com/Recursive-Logic-Core

Résumé/CV: Available upon request via email

Role: AI Systems Analyst & Architect (Concept & Orchestration)

Focus: Designing structural logic frameworks, context architectures, and deterministic control layers to solve core LLM limitations (Context Rot, Lost-in-the-Middle, hallucination loops, Attention Drift). I build fast, AI-orchestrated architectural prototypes and proof-of-concept tools across any tech stack to validate system logic - focusing on high-efficiency architecture, state mechanics, and system design rather than manual syntax-grinding for legacy codebases.

Key Deliverables & Implementations:

- SLAP Protocol (v1.0.0): Deterministic, zero-overhead context serialization & line-based tree-state protocol in O(N) single-pass execution https://github.com/Recursive-Logic-Core/SLAP

- DriftBreak (v1.5.0): Local context governor & state-recovery engine mitigating context drift and VRAM payload overhead on 127.0.0.1 https://github.com/Recursive-Logic-Core/DriftBreak

- Deterministic Context Frameworks: Mitigating attention decay, sycophancy, and mid-context retrieval failure across massive multi-document spans https://github.com/Recursive-Logic-Core/llm-context-architec...

- Advanced Forensic Pattern Recognition: Signal extraction from extreme cryptographic and unstructured informational fragmentation (Rongorongo, Dorabella, Kryptos, Voynich) https://github.com/Recursive-Logic-Core/system-analysis

Terms: German employment contract & benefits (Open to international via EoR / German entity)

Languages: Native German, fluent written English (async-first)

Notice Period: 2 months to end of month

Email: arch_mmm@proton.me