process engineer

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.

Qualifications

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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At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Equal Opportunity Statement
It is our policy to provide equal employment opportunity in all of our employment practices without regard to race, color, religion, sex, national origin, ancestry, marital status, age, individuals with disabilities, sexual orientation or gender identity or expression or any other legally protected category. 

Applicants for positions with Chubb Spain must be legally authorized to work in Spain.