LLM Prompt Engineer & Python Integrations

Chubb; Spain (TX); On-site; USD 69,000 - 104,000; Full time

Benefits offered by this job

32 days vacation per year

2 days work from home + flexible days

Entry time flexibility

Life and accident insurance

Pension plan

Stock Purchase plan

Employee assistance program

Comprehensive Learning & Development

Job summary

Chubb in Spain seeks a qualified Prompt Engineer and LLM Integration specialist to optimize interactions with Large Language Models, including ChatGPT, via Python. You will leverage OpenAI APIs, manage tokens, and experiment with multiple LLMs and prompts to achieve accurate results.

The role requires hands-on experience in token optimization, API integration, and prompt engineering across GPT-3.5-turbo, GPT-4, and related models.

Qualifications

• Bachelor’s degree related to Computer Systems or Software Development.
• Experience with Python (3.7+) and libraries such as OpenAI, requests, pandas, and numpy.
• Solid understanding of how large language models work, including transformers and encoding.

Responsibilities

• Token Management: Optimize token usage in interactions with LLMs, considering context and cost.
• API Integration: Develop Python code to access OpenAI's APIs for different LLMs.
• LLM Experimentation: Evaluate performance of various LLMs and prompt configurations.
• Multiple Prompt Management: Design strategies for multiple prompts in parallel or sequentially.
• Prompt Engineering: Design, refine, and optimize prompts for GPT-3.5-turbo, GPT-4, and other models.
• Results Analysis: Analyze LLM responses to improve prompts and configurations.
• Documentation: Document experiments, results, and best practices.

Skills

Python

OpenAI API

LLMs

Prompt Engineering

Token Management

Analytical Skills

Communication

Education

Bachelor’s degree in Computer Systems or Software Development

Tools

OpenAI API client

Requests

Pandas

NumPy

Job description

Chubb in Spain seeks a qualified Prompt Engineer and LLM Integration specialist to optimize interactions with Large Language Models, including ChatGPT, via Python. You will leverage OpenAI APIs, manage tokens, and experiment with multiple LLMs and prompts to achieve accurate results.

The role requires hands-on experience in token optimization, API integration, and prompt engineering across GPT-3.5-turbo, GPT-4, and related models.