We are looking for a qualified Prompt Engineer and LLM Integration specialist with experience in optimizing interactions with Large Language Models (LLMs), including ChatGPT, through Python. The ideal candidate will have a deep understanding of OpenAI's APIs, experience in token management, and the ability to work with multiple LLMs and prompts to achieve the best results. A high level of experimentation and analysis is required for this position. ( 12-month job Opportunity)
Profile
* Token Management: Optimize token usage in interactions with LLMs, taking into account context limitations and associated costs.
* API Integration: Develop and maintain Python code that efficiently interacts with OpenAI's APIs to access different LLMs.
* LLM Experimentation: Evaluate and compare the performance of different LLMs and prompt configurations to identify the best solutions for each use case.
* Multiple Prompt Management: Design strategies for managing and executing multiple prompts in parallel or sequentially, including combining results from different LLMs.
* Prompt Engineering: Design, refine, and optimize prompts for different LLMs (including GPT-3.5-turbo, GPT-4, and potentially other models) with the goal of obtaining accurate, relevant, and coherent responses for a variety of tasks.
* Results Analysis: Analyze the responses from LLMs, identifying patterns and areas for improvement in prompts and model configurations.
* Documentation: Document experiments, results, and best practices related to prompt engineering and LLM integration.
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