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.

Skills:

• Python: Proficiency in Python (version 3.7 or higher) and experience with libraries such as OpenAI, requests, pandas, and numpy.
• Experience with OpenAI APIs: Familiarity with using OpenAI APIs to interact with ChatGPT and other LLMs.
• Knowledge of LLMs: Solid understanding of how large language models work, including transformers, attention mechanisms, and encoding.
• Prompt Engineering: Ability to design, implement, and optimize prompts for various tasks and LLMs.
• Token Management: Knowledge of the context limitations of LLMs and experience in optimizing token usage.
• Analytical Skills: Ability to analyze data, identify patterns, and derive relevant conclusions.
• Effective Communication: Excellent verbal and written communication skills to collaborate with the team and document results.
• Education: Bachelor’s degree related to Computer Systems or Software Development

What we offer in return:

• 32 days of vacation a year

• 2 days working from home option + additional flexible days

• Entry time flexibility

• Life and accident insurance
• Meal allowance
• Pension plan
• Stock Purchase plan
• Flexible compensation scheme

• Wellhub

• Employee assistance program
• Comprehensive Learning & Development offer

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