18 publicaciones de empleo destacadas de full stack developer en san fernando de henares, md (¡Están contratando!)

Forward Deployed Engineer, Applied AI, Google Cloud
Google —Madrid, Madrid provincia
- Jornada completa
- Microsoft Excel
- Doctorado
- Informática
Warehouse and Logistics Specialist
Nebius —Madrid, Madrid provincia
- Sistemas ERP
- Project management
Solicitud rápida
Security Engineer
Happyrobot Inc. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- AWS
Web Development Quality Assurance (QA) Specialist
Growmodo GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Microsoft Excel
- Project management
- JavaScript
Solicitud rápida
Software Development Sr. Engineer
Solera —Madrid, Madrid provincia
- Jornada completa
- CRM software
- DevOps
- AWS
Software Engineer
Rover.com —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Python
- Abono gimnasio
- Plan de pensiones
Solicitud rápida
Platform Engineer
Ericsson —Madrid, Madrid provincia
- Máster
- Scripting
- APIs
Developer Relations AI (100% remote)
Tether Operations Limited —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
- Inglés
- Grado
DevOps Engineer (f/m/d)
Awin —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps
- Seguro oftalmológico
Technical Product Manager - Data Platform
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Python
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Senior Software Engineer | Remote | AI SaaS Software Role
Process Street —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Investigación
- Java
- AWS
- Seguro oftalmológico
Solicitud rápida
10d
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
.NET/Python Software Developer | Energy Sector
Etinars —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Inglés
- Máster
Solicitud rápida
Principal Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Español
- Azure
- Inglés
Senior Site Reliability Engineer - Logging & Monitoring, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- Jornada completa
- Azure
- Inglés
- Java
Azure Cloud & Dev Architect
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Bases de datos
2d
Web Manager, Growth
Deliverect —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Marketing
- Inglés
- JavaScript
Solicitud rápida
Expert Manager, Coro RevTech Systems Delivery
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Ventas
- Salesforce
- Seguro dental
- Vacaciones pagadas
Solicitud rápida

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Forward Deployed Engineer, Applied AI, Google Cloud

Google -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Microsoft Excel
Doctorado
Informática
Desarrollo de Full-stack
Google Cloud Platform
Máster
Arquitectura de microservicios
Grado
Machine learning
Terraform
NLP
Desarrollo de software
APIs
Cloud
Inteligencia artificial
Python
Debugging

Descripción completa del empleo

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Madrid, Spain; Amsterdam, Netherlands.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience with software development using Python or similar coding languages.
Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.
Experience in multilingual natural language processing, including developing and deploying models for processing text in multiple languages.

Preferred qualifications:

Master’s or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
Ability to troubleshoot live, high-traffic systems during critical windows.
Ability to travel up to 50% of the time.

About the job

As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the engineering life-cycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems. In this role, you will focus on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. In this role, you will require an understanding of software engineering, machine learning operations, and cloud infrastructure.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Serve as the lead developer for complex Conversational AI and Customer Experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive Return on Investment (ROI).
Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
Build high-performance evaluation pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
Identify repeatable field patterns and technical "friction points" in Google’s AAI stack, converting them into reusable modules or product feature requests for Engineering teams.
Collaborate with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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