Process Engineer

Chubb

Madrid

Presencial

EUR 45.000 - 75.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

32 days vacation
2 days remote work
Life and accident insurance
Meal allowance
Pension plan
Stock Purchase plan
Flexible compensation
Wellhub
Employee assistance program
Learning & Development

Descripción de la vacante

Chubb in Madrid is seeking a qualified Prompt Engineer and LLM Integration specialist with experience optimizing interactions with large language models through Python. The role focuses on OpenAI APIs, token management, and cross-LLM prompt strategies for varied tasks. This is a 12-month opportunity.

You will design prompts for GPT-3.5-turbo, GPT-4, and other models, compare performance, document experiments, and collaborate with the team to improve results and efficiency.

Formación

  • Bachelor’s degree in Computer Systems or Software Development.
  • Strong Python and API integration experience.
  • Experience with OpenAI APIs and LLMs.
  • Ability to optimize prompts and manage tokens.
  • Analytical mindset and clear communication.

Responsabilidades

  • Token Management: optimize token usage in LLM interactions.
  • API Integration: develop Python code to access OpenAI APIs.
  • LLM Experimentation: compare different LLMs and prompts.
  • Multiple Prompt Management: coordinate prompts across models.
  • Prompt Engineering: design prompts for GPT‑3.5‑turbo, GPT‑4.
  • Results Analysis: identify patterns and improve prompts.
  • Documentation: log experiments and best practices.

Conocimientos

Python
OpenAI APIs
Token management
LLMs knowledge
Prompt engineering
Experimentation
Documentation
Communication

Educación

Bachelor’s degree in Computer Systems or Software Development

Herramientas

OpenAI
requests
pandas
numpy

Descripción del empleo

Job 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. This is a 12‑month opportunity.

Responsibilities
  • 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
  • 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.
Benefits
  • 32 days of vacation a year
  • 2 days working from home option plus 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
Integrity. Client Focus. Respect. Excellence. Teamwork

Our core values dictate how we live and work. We are an ethical and honest company that is wholly committed to its clients. A business that is engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that is collaborative and supportive.

Diversity & Inclusion

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.

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