Prompt Engineer – Generative AI

Ethikos 3.0; Barcelona; A distancia; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading AI innovation firm in Barcelona seeks a Prompt Engineer to maximize AI's social impact through innovative prompt design. This fully remote role offers a competitive gross salary and involves working with state-of-the-art AI tools on high-impact projects. The ideal candidate has a strong background in NLP and programming, with a passion for ethical AI solutions.

Servicios

Competitive gross annual salary

100% remote work flexibility

Access to state-of-the-art AI tools

Training opportunities in AI and ethics

Formación

• Experience with designing prompts for LLMs such as OpenAI or Google Gemini is essential.
• Solid programming skills in Python and experience with APIs are required.
• Strong understanding of NLP methods and vector databases is vital.

Responsabilidades

• Design and refine prompts for generative AI.
• Collaborate on integrating AI into tools addressing social challenges.
• Implement metrics to evaluate model performance.

Conocimientos

Prompt design and optimization

NLP techniques

Python programming

API integration

Cross-functional collaboration

AI ethics understanding

Educación

Bachelor's or Master's degree in Computer Science

Degree in Computational Linguistics or related discipline

Herramientas

LangChain

Docker

AWS

GCP

Descripción del empleo

Overview

Our client is on a mission to harness the power of Artificial Intelligence for social impact. We are looking for a passionate Prompt Engineer to join their AI Innovation Lab. This role goes beyond technical excellence: it is about leveraging cutting-edge generative AI technologies to drive meaningful change in organizations, communities, and society.

As Prompt Engineer, you will design, optimize, and scale interactions with large language models (LLMs) to deliver solutions that improve decision-making, knowledge access, and collaboration. You will work in a multidisciplinary team of data scientists, software engineers, and domain experts, contributing to projects where AI is applied to human development, sustainability, and social well-being.

Key Responsibilities

• Design, test, and refine prompts to maximize the quality, accuracy, and ethical reliability of generative AI outputs.
• Build and maintain a prompt engineering framework with reusable templates, libraries, and guidelines.
• Collaborate with product, engineering, and research teams to integrate AI into tools that address social and business challenges.
• Apply advanced NLP techniques, embeddings, and fine-tuning methods to tailor LLMs to specific use cases.
• Implement metrics to evaluate model performance, bias, and inclusivity.
• Support the development of AI systems aligned with organizational values, ethical standards, and social responsibility principles.
• Stay ahead of the curve in prompt engineering, AI safety, and generative model capabilities.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI, or related discipline.
• Demonstrated experience designing prompts and workflows for LLMs (OpenAI, Anthropic, Google Gemini, Llama, etc.).
• Solid programming skills in Python, with hands-on experience working with APIs.
• Strong understanding of NLP methods, embeddings, and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Ability to work cross-functional and translate human needs into AI-powered solutions.
• Fluent in English (B2+).

Nice to Have

• Experience with LangChain, RAG pipelines, or MLOps frameworks (Docker, MLflow, Kubeflow).
• Knowledge of AI ethics, bias mitigation, and responsible AI deployment.
• Background in applied research or social innovation projects.

We Offer

• Competitive gross annual salary
• 100% remote work flexibility within Spain.
• Access to state-of-the-art AI tools and infrastructure.
• Involvement in high-impact projects where AI contributes to sustainability, education, healthcare, and organizational transformation.
• A culture that values collaboration, continuous learning, and purpose-driven innovation.
• Training opportunities in generative AI, ethics, and advanced prompt engineering.

This is not just another AI role. It’s an opportunity to use technology to build a more conscious, equitable, and human-centered future.