20 publicaciones de empleo destacadas de prompt engineering en madrid, md (¡Están contratando!)

Product Engineer
FounderNest —Madrid, Madrid provincia
- Teletrabajo
- Máster
- AWS
- APIs
AI Architect Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Java
- Máster
- APIs
12d
AI Systems Architect
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Máster
22h
People & Culture Automation & AI Project Manager
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Investigación
- Oficina
- Máster
- Vacaciones pagadas
6d
Legal Engineering Associate
Legora —Madrid, Madrid provincia
- Jornada completa
Research Scientist (GenAI/LLM)
NielsenIQ —Madrid, Madrid provincia
- De 38.400 € a 46.500 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
Solicitud rápida
Founding Forward Deployed Engineer
BLP Digital AG —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Oracle
- Sistemas ERP
- Inglés
Senior AI Product Engineer
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- AWS
- Grado
Solicitud rápida
Especialista Senior de Preventa en IA Generativa
Neoris —Madrid, Madrid provincia
- Informática
- Desarrollo de software
- Formación continua
- Teletrabajo opcional
IA Arquitect
knowmad mood —Madrid, Madrid provincia
- De lunes a viernes
- Teletrabajo
- Azure
- Oracle
- DevOps
AI Architect, Finance
Flipp —Madrid, Madrid provincia
- De 154.000 € a 165.000 € al año
- Horas extra
- Teletrabajo
- Azure
- Sistemas ERP
- Inglés
Solicitud rápida
Sales Support Associate
Sabio Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Microsoft Powerpoint
- Microsoft Word
- Español
- Seguro de vida
- Plan de pensiones
Solicitud rápida
5d
Data Scientist
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- Inglés
- Grado
Procurement Solutions Manager (AI Agents & Workflow Automation)
Roche —Madrid, Madrid provincia
- Jornada completa
- Informática
- Inglés
- Máster
Senior Full Stack Engineer
Duetto Research —Madrid, Madrid provincia
- Teletrabajo
- Java
- Hotel
- SQL
Solicitud rápida
Especialista IA/ML (azure)
COGNODATA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Microsoft Excel
- Azure
- Inglés
- Formación continua
- Flexibilidad horaria
Solicitud rápida
Lead Deployment Engineer
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oracle
- Informática
- Inglés
- Vacaciones pagadas
13d
Piping Engineer - Chinese/Mandarin
Dapin —San Sebastián de los Reyes, Madrid provincia
- Inglés
- Oficina
Senior Business Analyst - Multinational AI Solutions
Allianz —Madrid, Madrid provincia
- De 57.273 € a 69.999 € al año
- Jornada completa
- Trabajo híbrido
- Inglés
- Oficina
- Máster
- Plan de pensiones
6d
Ingeniero/a Soluciones IA_Madrid
AXA —Madrid, Madrid provincia
- Azure
- Informática
- DevOps

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Product Engineer

FounderNest
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Cualificaciones

Derecho
MongoDB
Máster
AWS
PostgreSQL
APIs
Inteligencia artificial
Python

Descripción completa del empleo

About us

FounderNest is an AI-native company helping corporations understand markets, map ecosystems, and generate strategic insights from complex data.

We work with +50M companies and +1.2B data points, combining real-time analytics, search, and Generative AI to deliver high-quality, explainable insights.

AI is not a feature at FounderNest, it is core infrastructure. We build production-grade LLM systems, retrieval pipelines, internal agents, and evaluation frameworks designed to operate reliably at scale.

Location

Fully remote within Spain only. Candidates must currently reside in Spain and have legal authorization to work in Spain.

Why this role exists

We are entering a phase where AI is no longer just part of the product, it is the product.

As we scale conversational interfaces and agent-based workflows, the complexity of reasoning over data, connecting systems, and ensuring quality has increased significantly. Many of our hardest problems sit at the intersection of AI, search, and retrieval systems. This is not a pure search engineering role, but hands-on experience building or evolving search/retrieval capabilities is important for success.

We are looking for someone who can help us build and evolve these systems end-to-end, raising the bar of how we operate AI in production.

This role sits at the intersection of product engineering, AI systems, and data.

Ultimately, your work will shape how users interact with complex data through AI, turning raw information into actionable insights.

What you will do

You will work end-to-end on AI-powered product capabilities, combining product thinking with system-level engineering.

Design and implement AI-powered search and retrieval experiences that combine LLMs, tools, structured data, ranking/relevance signals, and context retrieval
Connect AI systems to real product surfaces (search, company data, workflows) and ensure they deliver meaningful outcomes
Own AI quality by using and building evaluation frameworks, diagnosing failure modes, and improving reliability
Operate across the stack, integrating AI with backend services and data pipelines, balancing cost, latency, and quality
Collaborate with product, data, and design to translate ambiguous problems into working solutions and iterate based on feedback
Break down ambiguous problems into simple solutions, iterating quickly to deliver value before scaling complexity

What we are looking for

We are not hiring a specific title, we are hiring someone who can operate across systems.

You might come from product engineering, ML/AI engineering, Data Science or a generalist background, but this role is best suited for someone who has shipped product-facing systems where AI and search/retrieval were central to the user experience.

From an AI perspective, you understand how to design systems with LLMs, not just call them. You are comfortable with concepts like RAG, context structuring, retrieval quality, model trade-offs, and the importance of evaluation in production systems.

From an engineering perspective, you can build and ship reliable systems. You are comfortable working across APIs, services, and data pipelines, and you care about observability, performance, and maintainability.

From a product perspective, you take ownership of problems, not just tasks. You are proactive, comfortable with ambiguity, and focused on delivering real value to users.

From an AI-native workflow perspective, you use AI as a core part of your engineering workflow. You understand its tradeoffs and limitations, and you think in terms of systems, not just prompts. You leverage AI to accelerate development while maintaining quality and control.

From a search/retrieval perspective, you have hands-on experience helping users find, rank, retrieve, or reason over complex information. You understand that quality depends not only on the model, but also on indexing, retrieval strategy, relevance, context selection, and feedback loops.

Nice to have: hands-on experience working with search, retrieval, or relevance systems. This does not need to mean being a pure search engineer, but you should ideally have built or meaningfully contributed to systems involving ranking, indexing, query understanding, semantic search, relevance optimization, or large-scale data retrieval.

Given the nature of our product, this is a high-leverage area and a key part of the role.

We value curiosity, pragmatism, and low ego. You should be someone who learns fast, collaborates well, and helps raise the level of the team.

️ Tech stack

Our stack includes Typescript and Python, PostgreSQL and MongoDB, BigQuery and DBT, and infrastructure running on Kubernetes (AWS). On the AI side, we work with multiple LLM providers, RAG pipelines, internal agents, and evaluation systems.

You don’t need experience with all of this, but you should be comfortable navigating similar environments.

What makes this role different

This role focuses on building the core systems behind our AI-powered product experience, especially around search, retrieval, and reasoning over complex data.

You will help shape how AI and retrieval systems are designed, evaluated, and scaled at FounderNest, working across product, data, and engineering.

Your impact will not only be what you ship, but how the system evolves.

Final note

We are not looking for someone who knows everything, but for someone who can connect the dots, learn fast, and push the system forward.

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Refina tu búsqueda

prompt engineering empleos en madrid, md

Product Engineer

AI Architect Engineer

AI Systems Architect

People & Culture Automation & AI Project Manager

Legal Engineering Associate

Research Scientist (GenAI/LLM)

Founding Forward Deployed Engineer

Senior AI Product Engineer

Especialista Senior de Preventa en IA Generativa

IA Arquitect

AI Architect, Finance

Sales Support Associate

Data Scientist

Procurement Solutions Manager (AI Agents & Workflow Automation)

Senior Full Stack Engineer

Especialista IA/ML (azure)

Lead Deployment Engineer

Piping Engineer - Chinese/Mandarin

Senior Business Analyst - Multinational AI Solutions

Ingeniero/a Soluciones IA_Madrid

Quiero recibir la alerta de empleo más reciente de prompt engineering en madrid, md

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