Requirements
- Experience with system prompts in business tasks.
- Knowledge of LLM behavior: limitations, hallucinations, follow instructions, context, few-shot.
- Skills in setting structured outputs (JSON) and integrating responses into systems.
- Ability to diagnose problem sources (prompt, data, process, architecture).
- Basic Python proficiency.
- Understanding of API principles and integration logic.
- Experience with LLM APIs (Claude, OpenAI, etc.).
- Experience with knowledge bases and RAG approaches.
- Experience in conducting evals, AI-testing, and regression checks.
- Participation in AI architecture design, automation, or CRM processes.
- Creation of test environments, dialogue simulators, and agent playgrounds.
- Work with large dialogue sets, behavioral analysis, and HITL approaches.
- Interest in OpenClaw or similar AI context and memory management approaches.