20 publicaciones de empleo destacadas de ai deployment en el plantío madrid, md (¡Están contratando!)

Platform Engineer - AI Operations
Signicat —Madrid, Madrid provincia
- De 70.000 € a 90.000 € al año
- Trabajo híbrido
- Oficina
- Máster
- APIs
Senior Infrastructure Optimization Specialist - AI Trainer - Freelance - 8-20 hrs/week - Remote
10x Team —Madrid, Madrid provincia
- De 81 € a 159 € por hora
- Teletrabajo
- Inteligencia artificial
Solicitud rápida
Cloud Architect - AI Trainer - Freelance - 8-20hrs/week - Remote
10x Team —Madrid, Madrid provincia
- De 101 € a 160 € por hora
- Teletrabajo
- DevOps
- Inteligencia artificial
Solicitud rápida
Python and AI Developer
Dapin —San Sebastián de los Reyes, Madrid provincia
- Inglés
- Oficina
- Machine learning
Associate AI Engineer (6-month contract)
Board International —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Sistemas ERP
Solicitud rápida
AI Platform Engineer (OneAI)
OpenNebula Systems —Pozuelo de Alarcón, Madrid provincia
- Media jornada
- Teletrabajo
- Informática
- Inglés
- Oficina
- Vacaciones pagadas
Lead Full Stack Engineer (AI-first) | Remote (from Europe)
Creatunity LLC —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Grado
- JavaScript
- APIs
- Vacaciones pagadas
Solicitud rápida
8d
AI Agent Developer
Siemens Energy —Tres Cantos, Madrid provincia
- Jornada completa
- Informática
- Máster
- AWS
2d
Applied AI Engineer
Google —Madrid, Madrid provincia
- De 90.000 € a 92.000 € al año
- Jornada completa
- Informática
- Grado
- Desarrollo de software
8d
AI Principal Engineer
NielsenIQ —Madrid, Madrid provincia
- De 55.300 € a 78.800 € al año
- Jornada completa
- Trabajo híbrido
- CRM software
- Azure
- Sistemas ERP
Solicitud rápida
AI engineer
EY —Madrid, Madrid provincia
- Español
- Azure
- Informática
AI Deployment Strategist
Mistral AI —Madrid, Madrid provincia
- Jornada completa
- Informática
- Ventas
- JavaScript
AI Engineer
Once For All - Nalanda —Madrid, Madrid provincia
- De 40.000 € a 65.000 € al año
- Trabajo híbrido
- Español
- Inglés
- Máster
7d
Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
AI Operations Engineer (Functional Analyst)
NEWRY GLOBAL MEDIA —Madrid, Madrid provincia
- Trabajo híbrido
- Inteligencia artificial
Solicitud rápida
Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- De 285 € a 304 € al día
- Azure
- DevOps
- Inglés
Oliver Wyman – Platform / Infrastructure Engineer (m/f/d) – Quotient AI Specialist – Madrid
Oliver Wyman —Madrid, Madrid provincia
- Jornada completa
- Azure
- Inglés
- Oficina
12d
Software Engineer (Python / Linux) with Computer Vision
Managing Composites —Madrid, Madrid provincia
- De 30.000 € a 40.000 € al año
- Jornada completa
- DevOps
- Machine learning
- Linux
- Teletrabajo opcional
Solicitud rápida
Applied AI Engineer
Revolut —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Oficina
- SQL
- Machine learning
Forward Deployed AI Engineer
Keyrus Spain —Alcobendas, Madrid provincia
- De 70.000 € a 85.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida

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Platform Engineer - AI Operations

Signicat -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

De 70.000 € a 90.000 € al año

Cualificaciones

CI/CD
Derecho
Máster
Docker
Desarrollo de Back-End
APIs
Inteligencia artificial
Python

Descripción completa del empleo

Signicat is a pan-European digital identity company that makes it easy and safe for organisations to know who they are interacting with online. Using our proprietary technology, we help companies and public organisations securely verify the identities of people and businesses, authenticate users, and enable compliant electronic document signing, so their customers can access services and complete online processes with confidence.

Today, Signicat employs over 530 people across 20 offices in 15 European countries. We work with leading banks, fintechs, telcos, public authorities, healthcare providers, and enterprises across retail and mobility to deliver trusted digital identity and onboarding solutions at scale. Joining Signicat means contributing to a mission that has a real impact on how society works and trusting each other in an increasingly digital world.

About the Role

As a Platform Engineer focused on AI Operations, you will work on the design and development of Signicat's internal AI Background Agents Platform, empowering our product developers to easily build, test, and deploy their own autonomous agents to accelerate our digital identity capabilities.

We’re looking for an innovative and passionate engineer to join our DevTools team within the Platform Tribe. You’ll help design, build, and manage the software systems, sandboxes, and environments that make these agents secure, observable, and easy to deploy. While the AI Agents Platform is a major focus, you will also actively participate in the day-to-day operations of the DevTools team, contributing to general developer experience (DevEx) initiatives, shared engineering infrastructure, and developer-facing tooling.

How You'll Make An Impact

You’ll think deeply about systems — their edge cases, failure modes, and lifecycles to architect and construct the self-service APIs, services, and CLI tools that form our internal AI Background Agents Platform.
You’ll build secure, stateful runtime harnesses that host autonomous agents, handling their lifecycles, execution sandboxing, and tool or API invocations.
You’ll design robust CI/CD pipelines and automated GitOps engines to support progressive delivery (canary, blue-green) of both the platform itself and the agents running on it.
You’ll implement core platform security guardrails to defend against execution-level vulnerabilities and prompt injections.
You’ll build centralized distributed tracing and monitoring to give developers complete visibility into multi-step agent decisions, LLM calls, and iteration loops.
You’ll actively contribute to the DevTools team's day-to-day work—maintaining shared developer infrastructure, building general-purpose CLI utilities, and resolving developer experience bottlenecks across the engineering organization.
You'll offer mentorship and guidance on the best ways to design and implement platform-level solutions across all our products.

Why We'll Love You

You design, build, and deploy scalable services and platform APIs.
You have strong production experience using Python and Go to build back-end services or developer-facing tooling.
You have a proven track record of designing clean API contracts and building systems where other software developers are your primary consumers.
You are well-versed in Kubernetes-based environments and deploying containerized workloads.
You have experience with GitOps, continuous delivery patterns, and implementing progressive deployment strategies.
You have a conceptual or hands-on understanding of how LLM-backed systems operate, including memory management, tool calling, and frameworks (such as Google ADK, LangChain, or similar).
You write testable, clean code, design backward-compatible interfaces, and produce high-quality technical documentation.
You have experience with, or a strong interest in, creating reproducible, localized developer workflows using tools like Nix or devenv.
You understand sandboxing techniques (e.g., gVisor, WebAssembly, or isolated Docker runtimes).
You have experience with enterprise observability stacks (e.g., OpenTelemetry, Datadog) to manage and debug distributed services.

This is a wish list, if you have half of it we are already interested!

What we offer:

Tailored benefits package by location - we aim to empower our employees by offering customised benefits suited to each market
Your tech, your way - choose the tech gear that aligns with your comfort and meets your preferences
Remote work style - while you embrace a remote environment, we support occasional in-person gatherings to strengthen the teamwork
Work-life balance - enjoy an extra 5 paid days off annually, and we make sure to celebrate your work anniversaries to acknowledge the milestones you achieve
Health & Wellness - we prioritise your physical and mental well-being by providing designated packs and access to the Headspace app
Continuous growth - quarterly development talks, a dedicated time during working hours each week for training and development, access to Udemy courses, defined career paths, and internal mentorship opportunities
Customised onboarding - we will prepare an Onboarding Plan to ensure an easy and smooth beginning
Be part of an international team - the opportunity to work from any other Signicat office for 2 months per year and 3 weeks per year from any EU country
Empowering feedback culture - by using employee engagement tools, we ensure that every voice is heard, empowering us to grow together
Meet-ups - frequent office gatherings and biennial Kick-off event to bring every Signicat under one roof that you don’t want to miss

Salary:
€70,000-€90,000 gross yearly. We are open to discussing the salary based on your skills and competencies.

Solicitar ahora

Refina tu búsqueda

ai deployment empleos en el plantío madrid, md

Platform Engineer - AI Operations

Senior Infrastructure Optimization Specialist - AI Trainer - Freelance - 8-20 hrs/week - Remote

Cloud Architect - AI Trainer - Freelance - 8-20hrs/week - Remote

Python and AI Developer

Associate AI Engineer (6-month contract)

AI Platform Engineer (OneAI)

Lead Full Stack Engineer (AI-first) | Remote (from Europe)

AI Agent Developer

Applied AI Engineer

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AI engineer

AI Deployment Strategist

AI Engineer

Lead AI Application Engineer (Infrastructure & LLMOps)

AI Operations Engineer (Functional Analyst)

Data Science cum MLOps, Madrid (on-site) – International Client

Oliver Wyman – Platform / Infrastructure Engineer (m/f/d) – Quotient AI Specialist – Madrid

Software Engineer (Python / Linux) with Computer Vision

Applied AI Engineer

Forward Deployed AI Engineer

Quiero recibir la alerta de empleo más reciente de ai deployment en el plantío madrid, md

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