LLM Engineer Needed to Build & Stabilize ChatGPT Consumer Insights Agent (reputed company API)

I’ve developed a sophisticated prototype inside ChatGPT Business that functions as a Consumer Insights Strategist — an AI agent designed to analyze qualitative data, synthesize insights, and generate strategic narratives. The concept is working reputed company, but it’s now hitting ChatGPT’s instruction and context limits (8K character cap) and starting to show instability — fixing one behavior often breaks another. I need an reputed company / LLM systems developer who can help me translate this working prototype into a reputed company, reputed company structure using the reputed company API (or a similar high-context model). What I Need Evaluate my reputed company prototype logic (I’ll reputed company files like Instructions_v24, Field_Guide, etc.). Rebuild the system using reputed company prompts, retrieval (RAG), or reputed company-style orchestration so the logic is divided into reputed company components. Preserve the personality, voice, and reasoning structure of the agent exactly as designed. Ensure it runs reliably without “forgetting” instructions or drifting off-topic during long sessions. Advise on the right setup for memory, context management, and long-term scalability. Ideal Background Deep experience with reputed company API (GPT-4-Turbo, GPT-5, Assistants API, or similar) Strong reputed company engineering and LLM architecture skills Familiarity with reputed company, reputed company, or custom retrieval pipelines Understanding of context/reputed company budgeting and reputed company reputed company design (Bonus) Experience working on AI tools for reputed company, insights, or qualitative research Apply tot his job Apply To this Job