20 publicaciones de empleo destacadas de ai full stack en alcobendas, md (¡Están contratando!)

AI - Software Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Java
Desarrollador/a Full Stack Java
EPAM Systems, Inc. —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Oracle
- Mantenimiento
- Formación continua
- Teletrabajo opcional
Senior Android Software Engineer (All Genders)
zooplus SE —Madrid, Madrid provincia
- De 51.100 € a 62.400 € al año
- Jornada completa
- Trabajo híbrido
- Inglés
- Oficina
- Java
Solicitud rápida
Senior AI Product Engineer
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- AWS
- Grado
Solicitud rápida
Senior Rust Engineer - High Frequency Trading (HFT)
Keyrock —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- AWS
- Scripting
- Reclutamiento
2d
Head of IT & Procurement
Deliverect —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- IT
Solicitud rápida
Senior Software Engineer
SkySpecs —Madrid, Madrid provincia
- Jornada completa
- AWS
- JavaScript
- APIs
Solicitud rápida
Forward Deployed Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
Data Software Engineer
The Workshop —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- DevOps
- Oficina
- Teletrabajo opcional
- Abono gimnasio
SOC Analyst
Happyrobot Inc. —Madrid, Madrid provincia
- Horas extra
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Seguro oftalmológico
6d
Senior Software Engineer (.NET)
Frontiers Media —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Grado
- JavaScript
- Desarrollo de software
- Plan de pensiones
Solicitud rápida
Software Engineering Manager
Pluxee —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Head of Digital Marketing
Sulzer —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Marketing
- Inglés
Manager - BCG Vantage, Data Centers and AI Infrastructure
Boston Consulting Group —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Grado
- Inteligencia artificial
Infrastructure Solutions Sales Specialist
Lenovo —Madrid, Madrid provincia
- CRM software
- Español
- Ventas
Senior Product Software Engineer
Wolters Kluwer —Salamanca-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- SQL
Forward Deployed Engineer Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
AI Deployment Strategist
Mistral AI —Madrid, Madrid provincia
- Jornada completa
- Informática
- Ventas
- JavaScript
AdTech Analyst
Jakala —Madrid, Madrid provincia
- Trabajo híbrido
- Microsoft Excel
- Informática
- Sin necesidad de experiencia
- Seguro médico privado
Senior Generative AI Engineer
IQVIA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Máster
5d

Quiero recibir la alerta de empleo más reciente de ai full stack en alcobendas, md

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

Explorar empleos en más ubicaciones

ai full stack jobs near alcobendas, md

Empleos de Software Engineering Manager en Madrid, Madrid Provincia

Empleos de Senior Software Engineer en Madrid, Madrid Provincia

Empleos de Software Engineer en Madrid, Madrid Provincia

Empleos de Ai Developer en Madrid, Madrid Provincia

Empleos de Forward Deployed Engineer en Madrid, Madrid Provincia

Empleos de Data Center Technician en Madrid, Madrid Provincia

Empleos de Soc Analyst en Madrid, Madrid Provincia

Empleos de Senior Software Engineer en Barcelona, Barcelona Provincia

Empleos de Senior en Valencia, Valencia Provincia

Empleos de Ai Creative en Barcelona Provincia

Empleos de Product Manager Junior en Colmenarejo, Madrid Provincia

Empleos de Ai Engineer en En Remoto

Empleos de Head Of It en Gros, Guipúzcoa Provincia

Empleos de Head Of It en Coria Del Río, Sevilla Provincia

Empleos de It en Bilbao, Vizcaya Provincia

Empleos de Head en Villaseca De La Sagra, Toledo Provincia

Empleos de Head Of It en Urola Costa, Guipúzcoa Provincia

Empleos de Head Of It en El Molar, Madrid Provincia

Empleos de Senior Software Engineer en Málaga, Málaga Provincia

Empleos de Practicas Software en Valencia, Valencia Provincia

AI - Software Engineer

Accenture -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Azure
Derecho
Informática
CSS
Microsoft SQL Server
NoSQL
Java
Máster
Arquitectura de microservicios
SQL
AWS
Docker
Grado
JavaScript
SDKs
APIs
Agile
Cloud
Inteligencia artificial
Python
Debugging
HTML

Descripción completa del empleo

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are

An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC

The Work

You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.

Agent Architecture & Engineering

Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.

AI Platform Integration

Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
Contribute to shared libraries, SDKs, and patterns that can be reused across clients.

Cloud-Native Engineering

Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
Own deployment, monitoring, and troubleshooting for your services in production.

Domain-Specific Workflows

Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints.
Work closely with client SMEs to translate business workflows into agentic solutions.

Client Engagement

Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.

Measure & Improve

Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Iterate rapidly based on data, feedback, and changing requirements.

Knowledge Sharing

Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
Contribute to internal communities of practice around AI-native and agentic engineering.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

We are:
A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.
You are
An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.
You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC
The Work
You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.
Agent Architecture & Engineering
Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.
AI Platform Integration
Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
Contribute to shared libraries, SDKs, and patterns that can be reused across clients.
Cloud-Native Engineering
Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
Own deployment, monitoring, and troubleshooting for your services in production.
Domain-Specific Workflows
Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints.
Work closely with client SMEs to translate business workflows into agentic solutions.
Client Engagement
Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.
Measure & Improve
Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Iterate rapidly based on data, feedback, and changing requirements.
Knowledge Sharing
Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
Contribute to internal communities of practice around AI-native and agentic engineering.
Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.
Key Responsibilities
Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality
Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers
Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks
Own the quality of AI-generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production-ready and when it is not
Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows; present AI productivity and quality metrics to project stakeholders
Own delivery end-to-end — from design through to production support — in Agile sprint cycles alongside client engineering teams
Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team
Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends — understanding data flows, context handoffs, and integration points between your code and AI pipelines
Basic Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field
Comercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects)
Proficiency in at least one primary backend language: Python, Java, or TypeScript
Demonstrated hands-on experience using AI tools actively in day-to-day engineering work — with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs
Basic understanding of web technologies including JavaScript, HTML, and CSS
Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines
Understanding of Agile delivery fundamentals
Experience with databases — SQL or NoSQL
Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use
Familiarity with agentic system concepts — awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required

#LI-EU

Solicitar ahora

Refina tu búsqueda

ai full stack empleos en alcobendas, md

AI - Software Engineer

Desarrollador/a Full Stack Java

Senior Android Software Engineer (All Genders)

Senior AI Product Engineer

Senior Rust Engineer - High Frequency Trading (HFT)

Head of IT & Procurement

Senior Software Engineer

Forward Deployed Engineer

Data Software Engineer

SOC Analyst

Senior Software Engineer (.NET)

Software Engineering Manager

Head of Digital Marketing

Manager - BCG Vantage, Data Centers and AI Infrastructure

Infrastructure Solutions Sales Specialist

Senior Product Software Engineer

Forward Deployed Engineer Manager

AI Deployment Strategist

AdTech Analyst

Senior Generative AI Engineer

Quiero recibir la alerta de empleo más reciente de ai full stack en alcobendas, md

Related Searches

Explorar empleos en más ubicaciones

Basic Qualifications

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión