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Process Engineer at Chubb

Madrid, Madrid Community, Spain -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Prompt Engineering, LLM Integration, Python, OpenAI APIs, Token Management, LLM Experimentation, Multiple Prompt Management, Results Analysis, Documentation, Transformers, Attention Mechanisms, Encoding, Analytical Skills, Effective Communication, GPT-3.5-turbo, GPT-4

Industry

Insurance

Description

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.

Responsibilities

The role involves optimizing interactions with Large Language Models (LLMs) like ChatGPT using Python, focusing on token management, API integration with OpenAI, and extensive experimentation across different LLMs and prompt configurations. Key tasks include designing and refining prompts for models like GPT-4 and analyzing results to ensure accurate and coherent responses.