I’m looking for a senior AI/ML engineer to debug and fix a critical issue in a custom-built agentic AI pipeline. The system is already implemented and integrates: LLM-based reasoning (tool-calling / agent loop) External tools/APIs Multi-step orchestration (planner → executor → feedback loop) However, there is a bug causing inconsistent or incorrect agent behavior, and I need someone experienced enough to quickly identify the root cause and implement a robust fix. - Scope of Work Analyze the existing pipeline architecture and execution flow Identify root cause of the bug (logic, state handling, tool-calling, or prompt issues) Fix the issue with clean, maintainable code Improve stability and reliability of the agent loop Add debugging/logging where necessary (Optional but preferred) Suggest architectural improvements - Deliverables Working fix implemented via remote access.