LLM Prompt Engineer & Python Integrations

Chubb Ltd.; España; Híbrido; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

32 days vacation a year

2 days working from home option

Entry time flexibility

Life and accident insurance

Pension plan

Stock Purchase plan

Employee assistance program

Comprehensive Learning & Development

Descripción de la vacante

Chubb Spain is seeking a qualified Prompt Engineer and LLM Integration specialist to optimize interactions with LLMs using Python. The role focuses on token management, API integrations with OpenAI, and experimentation across GPT-3.5-turbo, GPT-4, and other models to achieve accurate and coherent results.

The candidate will design multi-prompt strategies, analyze model outputs, and document experiments and best practices.

Formación

• Proficient in Python (3.7+).
• Experience with OpenAI APIs and ChatGPT integrations.
• Solid understanding of LLMs, transformers, attention, and encoding.
• Experience in designing, implementing, and optimizing prompts for various tasks.
• Knowledge of token management and cost-aware interaction with LLMs.
• Strong analytical skills and ability to document results clearly.
• Excellent communication skills to collaborate and report findings.
• Bachelor’s degree related to Computer Systems or Software Development.

Responsabilidades

• Token management to optimize context usage and cost.
• Develop and maintain Python code to interact with OpenAI APIs.
• Experiment with different LLMs and prompts to identify best solutions.
• Design strategies for multiple prompts and multi-model results.
• Document experiments, results, and best practices.

Conocimientos

Python

OpenAI APIs

LLM knowledge

Prompt engineering

Token management

Analytical skills

Effective communication

Educación

Bachelor's degree in Computer Systems or Software Development

Herramientas

OpenAI library

requests

pandas

numpy

Descripción del empleo

Chubb Spain is seeking a qualified Prompt Engineer and LLM Integration specialist to optimize interactions with LLMs using Python. The role focuses on token management, API integrations with OpenAI, and experimentation across GPT-3.5-turbo, GPT-4, and other models to achieve accurate and coherent results.

The candidate will design multi-prompt strategies, analyze model outputs, and document experiments and best practices.