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We have developed an AI agent system for automated analysis and decision-making workflows and are looking for an experienced freelancer to audit the system for potential pitfalls, edge cases, and performance risks.
The goal is to identify weaknesses in logic, prompt design, data handling, hallucination risks, and overall reliability of the agent in real-world use cases.
We're specifically looking for someone strong in:
Deliverable is a clear breakdown of issues, improvement recommendations, and any critical risks that could affect production use.
Ideal for someone experienced in AI auditing, LLM systems design, or advanced prompt/agent architecture.