Ofertes d'ocupació per a Redux a wijobs.es

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada7 de nov.

Teletreball . React Java Azure Cloud Coumputing Swift DevOps Spring Microservices Kafka

La Fundación I+D Del Software Libre es un Centro de Apoyo a la innovación dónde desarrollamos y ejecutamos proyectos de I+D+I basados en las tecnologías mas punteras, cómo Realidad aumentada, Diferentes aplicaciones de la tecnología Blockchain y Ciberseguridad, además de consultoría tecnológica, nos avalan más de 15 años de trabajo.

Buscamos un perfil senior en Java con los siguientes requerimientos técnicos.

Arquitectura: Patrones de diseño (CQRS, Resiliencia, hexagonal), microservicios, orientación a eventos con Kafka
IA: Experiencia en el uso de Claude y/o Copilot
DevOps: Conocimiento de CI/CD, infraestructura (Cloud Azure) y monitoreo (Grafana y App Insights de Azure)
Coding: Java Spring Boot/ React / Swift
Seguridad: Oauth2, Conocimiento de OWASP y protección de datos
Experiencia 6-9 años experiencia

¿Qué ofrecemos?

-Contrato Indefinido

-Modalidad teletrabajo (desplazamientos puntuales)

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada6 de nov.

. React Javascript .Net Java Node.js PHP Python CSS TSQL Azure HTML Angular Cloud Coumputing GraphQL REST AWS SOAP DevOps Big Data Salesforce

Who We Are

WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience.

Working in MarTech with WPP Enterprise Solutions

WPP Enterprise Solutions is a full-service digital agency helping ambitious brands deliver connected, personalised experiences across digital channels. Our expertise spans Marketing, Commerce, CRM, PXM and CX, enabling us to deliver end-to-end solutions with measurable impact.

Our clients include Bayer, MSD, Dyson, Johnson & Johnson, RTL, Nestlé, Tommy Hilfiger, Calvin Klein and other global brands. Our teams are based in Amsterdam, Barcelona, London, Poland and India, with access to the wider WPP network worldwide.

The Opportunity

You'll help design and build MarTech solutions across Salesforce Marketing Cloud, Data Cloud and the wider Salesforce platform, working collaboratively across the wider team. Depending on the client, you may work across platforms such as Braze, Klaviyo, Bloomreach and Adobe, together with data and cloud technologies including Snowflake, Databricks, BigQuery, Tealium, Segment, AWS, Azure and GCP.

What You'll Do

Design the solution and data
You help shape the data model and integrations, then build, test and support reliable production code with the wider team.
Most of our depth sits in Salesforce Marketing Cloud, but the architecture rarely stops at one platform.
Relational schemas, keys, retention, extract and ingestion strategies.
Identity resolution across fragmented sources.
Build the integrations
REST, SOAP, webhooks, batch or event-driven - you help select the right pattern, implement it and ensure failures recover safely.
Work at the warehouse and CDP layer, not just the activation platform at the end of it.
Build maintainable solutions
Build with AMPScript, SSJS, Apex, LWC, Liquid, Jinja or general-purpose code, depending on the platform and problem.
Queries and automation logic driving segmentation and journeys at volume.
Improve the team’s versioning, review and deployment practices where they add value.
Decisions documented so they outlast your engagement.
Translate for the client
Shape ambiguous requirements into something buildable and present the solution yourself.

What You Bring

Software Engineering
Production experience with Node.js, Python, Java, PHP or .NET.
You write maintainable, tested and idempotent code with effective error handling and logging.
Data Engineering and Architecture
Strong SQL against large datasets - not just reads, but the queries that drive segmentation and automation.
You understand customer identity resolution across fragmented sources, including deterministic and probabilistic matching, survivorship and profile consolidation.
Integration and Delivery
Delivered a production integration using REST, SOAP or webhooks.
Understands batch and event-driven patterns, rate limits, retries, failure recovery and duplicate prevention.
Hands-on version control in a team setting - branching, pull requests, peer review.
Front-end Development
Comfortable building and debugging rendered output with HTML, CSS and JavaScript.
Marketing Platform Delivery
Hands-on delivery on an enterprise marketing or CRM platform - Salesforce, Braze, Klaviyo, Bloomreach, Adobe or equivalent.
Built audience segmentation and multi-step customer journeys against a live data source.
Worked directly with marketing stakeholders on requirements, not only via a ticket queue.

Bonus Experience

Additional Marketing Automation Experience: Salesforce Personalization, Pardot or Marketing Cloud Next; Adobe Campaign, Journey Optimizer or Marketo Engage; or HubSpot.
Core CRM Platforms: Salesforce Sales, Service, Experience, Commerce or Industry Clouds.
CDP Platforms: Data Cloud, Tealium, Segment or equivalent.
Platform Development: AMPScript, SSJS, Apex, LWC, Liquid, Jinja.
Data Engineering and Architecture: ETL / ELT, batch and streaming pipelines, data governance, big data.
APIs & Integration: GraphQL.
Front-end Development: React, Angular, Vue.
DevOps: CI/CD, SFMC DevTools, Salesforce CLI, Copado, Gearset.
Email Development: Responsive email build, including cross-client and dark mode testing.
Email Deliverability: Sending reputation and authentication - SPF, DKIM, DMARC, dedicated IP warming.

How You Work

Stay hands-on across the delivery lifecycle
This is a hands-on developer role. You help design and build solutions using platform languages, SQL and the appropriate integration technologies.
You also review, audit, migrate and improve inherited solutions.
You build solutions that are bulk-safe, observable and tested, with error handling and logging included from the start.
You name things properly, you leave comments where the platform forced an ugly decision, and you don't hand over a black box.
Platform-pragmatic
You work the constraint rather than resenting it. Enterprise marketing platforms often won't let you build the elegant solution, and you find the one that holds.
You know when a platform's native tooling is enough and when the problem belongs in real code.
Design, document and deliver responsibly
You consider the data model and integration pattern before building, keeping the design effort proportionate to the problem.
You write the design down. Decisions and trade-offs outlast your engagement.
You take responsibility for what you ship and can diagnose production issues.
Your work lives in version control, gets reviewed by peers, and deploys the same way twice.
You'd rather have a design challenged early than find the problem in production.
Client-facing across disciplines
You lead requirements discussions and present solutions clearly to both marketing and technical stakeholders.
You adapt the level of detail to your audience.
You work closely with campaign operations, data engineers, developers and strategists, translating effectively between disciplines.

In Return, This Is What We Offer

We encourage ambitious ideas, invest in your development and support a flexible, welcoming workplace.

Our Compensation

An annual gross salary of €43,700–€50,000, depending on experience.
Company private health insurance.
A choice of a Mac or Windows laptop.

Career progression

Deepen your technical path towards Senior Marketing Technology Engineer, with a longer-term route into Technical Lead responsibilities across a portfolio.
Broaden your practice path by improving how we deliver, what we standardise and how the wider team develops.
We’ll help you build either path through demonstrated impact, growing responsibility and business need.

Our culture

Work from home at least one day a week.
A culture of trust, with a feel-at-home vibe and an international environment.
Mental health: Complimentary membership to EAP counselling services.
Experience working across both B2B and B2C delivery contexts.

Note to recruitment agencies: We are unable to collaborate with external agencies at this moment in time, applications sent won't be processed.

About WPP

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence and world-class partnerships – all united by our agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

WPP (VML/WPP Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

When you click "Submit Application", this will send any information you add below to WPP (VML/WPP Enterprise Solutions). Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada6 de nov.

. React Javascript .Net Java Node.js PHP Python CSS TSQL Azure HTML Angular Cloud Coumputing GraphQL REST AWS SOAP DevOps Big Data Salesforce

Who We Are

WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience.

Working in MarTech with WPP Enterprise Solutions

WPP Enterprise Solutions is a full-service digital agency helping ambitious brands deliver connected, personalised experiences across digital channels. Our expertise spans Marketing, Commerce, CRM, PXM and CX, enabling us to deliver end-to-end solutions with measurable impact.

Our clients include Bayer, MSD, Dyson, Johnson & Johnson, RTL, Nestlé, Tommy Hilfiger, Calvin Klein and other global brands. Our teams are based in Amsterdam, Barcelona, London, Poland and India, with access to the wider WPP network worldwide.

The Opportunity

You'll help design and build MarTech solutions across Salesforce Marketing Cloud, Data Cloud and the wider Salesforce platform, working collaboratively across the wider team. Depending on the client, you may work across platforms such as Braze, Klaviyo, Bloomreach and Adobe, together with data and cloud technologies including Snowflake, Databricks, BigQuery, Tealium, Segment, AWS, Azure and GCP.

What You'll Do

Design the solution and data
You help shape the data model and integrations, then build, test and support reliable production code with the wider team.
Most of our depth sits in Salesforce Marketing Cloud, but the architecture rarely stops at one platform.
Relational schemas, keys, retention, extract and ingestion strategies.
Identity resolution across fragmented sources.
Build the integrations
REST, SOAP, webhooks, batch or event-driven - you help select the right pattern, implement it and ensure failures recover safely.
Work at the warehouse and CDP layer, not just the activation platform at the end of it.
Build maintainable solutions
Build with AMPScript, SSJS, Apex, LWC, Liquid, Jinja or general-purpose code, depending on the platform and problem.
Queries and automation logic driving segmentation and journeys at volume.
Improve the team’s versioning, review and deployment practices where they add value.
Decisions documented so they outlast your engagement.
Translate for the client
Shape ambiguous requirements into something buildable and present the solution yourself.

What You Bring

Software Engineering
Production experience with Node.js, Python, Java, PHP or .NET.
You write maintainable, tested and idempotent code with effective error handling and logging.
Data Engineering and Architecture
Strong SQL against large datasets - not just reads, but the queries that drive segmentation and automation.
You understand customer identity resolution across fragmented sources, including deterministic and probabilistic matching, survivorship and profile consolidation.
Integration and Delivery
Delivered a production integration using REST, SOAP or webhooks.
Understands batch and event-driven patterns, rate limits, retries, failure recovery and duplicate prevention.
Hands-on version control in a team setting - branching, pull requests, peer review.
Front-end Development
Comfortable building and debugging rendered output with HTML, CSS and JavaScript.
Marketing Platform Delivery
Hands-on delivery on an enterprise marketing or CRM platform - Salesforce, Braze, Klaviyo, Bloomreach, Adobe or equivalent.
Built audience segmentation and multi-step customer journeys against a live data source.
Worked directly with marketing stakeholders on requirements, not only via a ticket queue.

Bonus Experience

Additional Marketing Automation Experience: Salesforce Personalization, Pardot or Marketing Cloud Next; Adobe Campaign, Journey Optimizer or Marketo Engage; or HubSpot.
Core CRM Platforms: Salesforce Sales, Service, Experience, Commerce or Industry Clouds.
CDP Platforms: Data Cloud, Tealium, Segment or equivalent.
Platform Development: AMPScript, SSJS, Apex, LWC, Liquid, Jinja.
Data Engineering and Architecture: ETL / ELT, batch and streaming pipelines, data governance, big data.
APIs & Integration: GraphQL.
Front-end Development: React, Angular, Vue.
DevOps: CI/CD, SFMC DevTools, Salesforce CLI, Copado, Gearset.
Email Development: Responsive email build, including cross-client and dark mode testing.
Email Deliverability: Sending reputation and authentication - SPF, DKIM, DMARC, dedicated IP warming.

How You Work

Stay hands-on across the delivery lifecycle
This is a hands-on developer role. You help design and build solutions using platform languages, SQL and the appropriate integration technologies.
You also review, audit, migrate and improve inherited solutions.
You build solutions that are bulk-safe, observable and tested, with error handling and logging included from the start.
You name things properly, you leave comments where the platform forced an ugly decision, and you don't hand over a black box.
Platform-pragmatic
You work the constraint rather than resenting it. Enterprise marketing platforms often won't let you build the elegant solution, and you find the one that holds.
You know when a platform's native tooling is enough and when the problem belongs in real code.
Design, document and deliver responsibly
You consider the data model and integration pattern before building, keeping the design effort proportionate to the problem.
You write the design down. Decisions and trade-offs outlast your engagement.
You take responsibility for what you ship and can diagnose production issues.
Your work lives in version control, gets reviewed by peers, and deploys the same way twice.
You'd rather have a design challenged early than find the problem in production.
Client-facing across disciplines
You lead requirements discussions and present solutions clearly to both marketing and technical stakeholders.
You adapt the level of detail to your audience.
You work closely with campaign operations, data engineers, developers and strategists, translating effectively between disciplines.

In Return, This Is What We Offer

We encourage ambitious ideas, invest in your development and support a flexible, welcoming workplace.

Our Compensation

An annual gross salary of €43,700–€50,000, depending on experience.
Company private health insurance.
A choice of a Mac or Windows laptop.

Career progression

Deepen your technical path towards Senior Marketing Technology Engineer, with a longer-term route into Technical Lead responsibilities across a portfolio.
Broaden your practice path by improving how we deliver, what we standardise and how the wider team develops.
We’ll help you build either path through demonstrated impact, growing responsibility and business need.

Our culture

Work from home at least one day a week.
A culture of trust, with a feel-at-home vibe and an international environment.
Mental health: Complimentary membership to EAP counselling services.
Experience working across both B2B and B2C delivery contexts.

Note to recruitment agencies: We are unable to collaborate with external agencies at this moment in time, applications sent won't be processed.

About WPP

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence and world-class partnerships – all united by our agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

WPP (VML/WPP Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

When you click "Submit Application", this will send any information you add below to WPP (VML/WPP Enterprise Solutions). Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada6 de nov.

. React Node.js Angular Cloud Coumputing Git REST TypeScript AWS Terraform

En Krell Consulting buscamos un/a Fullstack Developer Senior con experiencia en Node.js, TypeScript y Angular y/o React para incorporarse a un proyecto tecnológico del sector asegurador.

La persona seleccionada participará en el desarrollo de aplicaciones modernas, arquitecturas de microfrontends, servicios backend y soluciones cloud, trabajando con metodologías y herramientas actuales de desarrollo de software.

Funciones principales

Desarrollo de aplicaciones Fullstack con TypeScript, Node.js y Angular y/o React.
Diseño e implementación de arquitecturas de microfrontends y Module Federation.
Desarrollo de servicios backend con Express o Koa.
Diseño e integración de APIs REST y autenticación mediante JWT.
Desarrollo de pruebas automatizadas con Playwright, Jest o Vitest.
Gestión de código y pipelines CI/CD con Git y GitLab.
Participación en desarrollos sobre AWS, utilizando Lambda, KMS y Terraform.
Utilización de herramientas de desarrollo asistido por IA, especialmente Claude Code.

Requisitos imprescindibles

Experiencia profesional de 5 a 7 años en desarrollo de software.
Experiencia sólida en TypeScript y Node.js.
Experiencia profesional con Angular o React.
Conocimientos de microfrontends y Module Federation.
Experiencia con Express o Koa.
Conocimientos de APIs REST y autenticación JWT.
Experiencia en testing con Playwright y Jest o Vitest.
Conocimientos de Git y GitLab CI/CD.
Inglés B2/C1 como mínimo.
Disponibilidad para trabajar presencialmente en Barcelona una vez por semana.
Formación de Grado Superior o equivalente.

Requisitos valorables

Experiencia tanto en Angular como en React.
Conocimientos de AWS Lambda, KMS y Terraform.
Experiencia con Claude Code y buenas prácticas de desarrollo asistido por IA.
Experiencia previa en el sector asegurador.

¿Qué ofrecemos?

Contrato indefinido con Krell Consulting.
Modalidad híbrida en Barcelona (1-2 días presencial a la semana)
Proyecto tecnológico en el sector seguros.
Entorno de trabajo con tecnologías modernas.
Desarrollo profesional y posibilidad de continuidad en otros proyectos.
Incorporación a un equipo tecnológico especializado.
Banda salarial de 33.000 euros brutos/año

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada6 de nov.

. React Python Linux Docker Cloud Coumputing Kubernetes OCR Machine Learning

Desde EIA21, empresa de ingeniería industrial con más de 40 años de experiencia en la prestación de servicios para el sector, buscamos un/a Agentic AI Engineer para incorporarse a nuestro equipo en Erandio, Bilbao, en modalidad híbrida, participando en el desarrollo de soluciones avanzadas de Inteligencia Artificial Generativa, sistemas multiagente y automatización inteligente.

Funciones

Arquitectura Agentic y Orquestación

Diseñar e implementar arquitecturas multiagente utilizando LangGraph.
Desarrollar sistemas de planificación, enrutamiento, razonamiento iterativo y toma de decisiones basados en patrones como ReAct y Plan-and-Execute.
Construir soluciones basadas en Mixture of Agents (MoA), donde agentes especializados colaboren para analizar, validar y consolidar respuestas.
Diseñar e integrar herramientas mediante Model Context Protocol (MCP), garantizando autenticación, trazabilidad y comunicaciones seguras.
Implementar mecanismos de memoria a corto y largo plazo para agentes inteligentes, manteniendo el control sobre la persistencia de información.
Diseñar procesos de aprobación humana (Human-in-the-Loop) para garantizar la calidad y gobernanza de los sistemas de IA.

Gestión del Conocimiento e Inteligencia Artificial Generativa

Diseñar e implementar pipelines de extracción, procesamiento y vectorización de información procedente de PDFs y documentación no estructurada.
Desarrollar sistemas RAG (Retrieval-Augmented Generation) basados en bases de datos vectoriales y búsqueda híbrida.
Afinar, evaluar y desplegar modelos open-source mediante técnicas como LoRA y QLoRA.
Desarrollar e implementar Small Language Models (SLMs) para entornos on-premise, edge computing y casos de uso orientados a optimización de costes.
Implementar mecanismos de aprendizaje continuo a partir de resultados aceptados y rechazados por los usuarios.
Diseñar la infraestructura necesaria para la ejecución de agentes: gestión de contexto, memoria, herramientas, observabilidad y evaluación.

Sistemas Basados en Reglas y Optimización

Transformar criterios de negocio en reglas auditables y verificables.
Diseñar soluciones híbridas que combinen modelos de Machine Learning con motores de reglas de negocio.
Integrar herramientas de optimización, routing y razonamiento como recursos reutilizables dentro del ecosistema de agentes.

MLOps y AgentOps

Participar en la implantación de procesos de MLOps y AgentOps.
Diseñar y mantener pipelines de CI/CD para modelos y agentes.
Implementar monitorización, control de costes, trazabilidad y detección de desviaciones de rendimiento.
Gestionar evaluaciones mediante herramientas como LangSmith, Langfuse o similares.
Participar en despliegues en entornos cloud, contenedores Docker, Linux y entornos privados con altos requisitos de seguridad.

Requisitos

Grado o Máster en Ingeniería Informática, Inteligencia Artificial, Machine Learning, Matemáticas Aplicadas, Ingeniería Computacional o disciplinas afines.
Más de 3 años de experiencia en desarrollo software, incluyendo al menos 2 años trabajando con sistemas de IA, NLP o LLMs en entornos productivos.
Dominio avanzado de Python.
Experiencia demostrable con LangGraph y sistemas multiagente.
Experiencia en diseño de sistemas con memoria, guardrails, aprobación humana y llamadas a herramientas (tool calling).
Conocimiento y experiencia práctica con Model Context Protocol (MCP).
Experiencia en arquitecturas RAG, embeddings, vectorización y bases de datos vectoriales como Qdrant, Weaviate, Milvus o pgvector.
Conocimiento de arquitecturas MoE (Mixture of Experts), MoA (Mixture of Agents) y MoT (Mixture of Thought).
Experiencia afinando modelos mediante LoRA y QLoRA utilizando PyTorch.
Conocimiento sólido de Small Language Models (SLMs) y criterios para su utilización frente a LLMs de propósito general.
Experiencia desarrollando entornos de ejecución para agentes inteligentes, incluyendo gestión de contexto, herramientas, aprobaciones y evaluación.
Experiencia o conocimientos en modelos híbridos basados en reglas de negocio y Machine Learning.
Conocimientos de Docker, CI/CD, experimentación, despliegue y monitorización de modelos.
Nivel alto de inglés, tanto oral como escrito.
Capacidad para comunicar decisiones técnicas y resultados de IA a perfiles no especializados.

Se Valorará

Conocimientos de protocolos Agent-to-Agent (A2A) y Agent Communication Protocol (ACP).
Experiencia en técnicas como RLHF, DPO, destilación, cuantización y entrenamiento distribuido.
Experiencia con DeepSpeed, FSDP o tecnologías equivalentes.
Conocimientos de Kubernetes y despliegues híbridos u on-premise.
Experiencia con herramientas de optimización y resolución de restricciones como OR-Tools.
Conocimiento de frameworks de agentes como CrewAI, AutoGen, LlamaIndex Agents o SDKs de OpenAI y Anthropic.
Experiencia en Document AI, OCR avanzado y procesamiento documental.
Conocimientos de Knowledge Graphs y soluciones Edge AI.

Condiciones

Ubicación: Erandio, Bilbao.
Modalidad: Híbrida.
Jornada: Completa.
Tipo de contrato: Indefinido.
Participación en el desarrollo de productos y soluciones de Inteligencia Artificial de última generación.
Entorno tecnológico innovador, con acceso a tecnologías punteras de IA Generativa, sistemas multiagente, MLOps y automatización avanzada.
Posibilidad de crecimiento profesional en proyectos con un elevado componente de innovación tecnológica.

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada6 de nov.

. React Python Linux Docker Cloud Coumputing Kubernetes OCR Machine Learning

Desde EIA21, empresa de ingeniería industrial con más de 40 años de experiencia en la prestación de servicios para el sector, buscamos un/a Agentic AI Engineer para incorporarse a nuestro equipo en Erandio, Bilbao, en modalidad híbrida, participando en el desarrollo de soluciones avanzadas de Inteligencia Artificial Generativa, sistemas multiagente y automatización inteligente.

Funciones

Arquitectura Agentic y Orquestación

Diseñar e implementar arquitecturas multiagente utilizando LangGraph.
Desarrollar sistemas de planificación, enrutamiento, razonamiento iterativo y toma de decisiones basados en patrones como ReAct y Plan-and-Execute.
Construir soluciones basadas en Mixture of Agents (MoA), donde agentes especializados colaboren para analizar, validar y consolidar respuestas.
Diseñar e integrar herramientas mediante Model Context Protocol (MCP), garantizando autenticación, trazabilidad y comunicaciones seguras.
Implementar mecanismos de memoria a corto y largo plazo para agentes inteligentes, manteniendo el control sobre la persistencia de información.
Diseñar procesos de aprobación humana (Human-in-the-Loop) para garantizar la calidad y gobernanza de los sistemas de IA.

Gestión del Conocimiento e Inteligencia Artificial Generativa

Diseñar e implementar pipelines de extracción, procesamiento y vectorización de información procedente de PDFs y documentación no estructurada.
Desarrollar sistemas RAG (Retrieval-Augmented Generation) basados en bases de datos vectoriales y búsqueda híbrida.
Afinar, evaluar y desplegar modelos open-source mediante técnicas como LoRA y QLoRA.
Desarrollar e implementar Small Language Models (SLMs) para entornos on-premise, edge computing y casos de uso orientados a optimización de costes.
Implementar mecanismos de aprendizaje continuo a partir de resultados aceptados y rechazados por los usuarios.
Diseñar la infraestructura necesaria para la ejecución de agentes: gestión de contexto, memoria, herramientas, observabilidad y evaluación.

Sistemas Basados en Reglas y Optimización

Transformar criterios de negocio en reglas auditables y verificables.
Diseñar soluciones híbridas que combinen modelos de Machine Learning con motores de reglas de negocio.
Integrar herramientas de optimización, routing y razonamiento como recursos reutilizables dentro del ecosistema de agentes.

MLOps y AgentOps

Participar en la implantación de procesos de MLOps y AgentOps.
Diseñar y mantener pipelines de CI/CD para modelos y agentes.
Implementar monitorización, control de costes, trazabilidad y detección de desviaciones de rendimiento.
Gestionar evaluaciones mediante herramientas como LangSmith, Langfuse o similares.
Participar en despliegues en entornos cloud, contenedores Docker, Linux y entornos privados con altos requisitos de seguridad.

Requisitos:

Requisitos

Grado o Máster en Ingeniería Informática, Inteligencia Artificial, Machine Learning, Matemáticas Aplicadas, Ingeniería Computacional o disciplinas afines.
Más de 3 años de experiencia en desarrollo software, incluyendo al menos 2 años trabajando con sistemas de IA, NLP o LLMs en entornos productivos.
Dominio avanzado de Python.
Experiencia demostrable con LangGraph y sistemas multiagente.
Experiencia en diseño de sistemas con memoria, guardrails, aprobación humana y llamadas a herramientas (tool calling).
Conocimiento y experiencia práctica con Model Context Protocol (MCP).
Experiencia en arquitecturas RAG, embeddings, vectorización y bases de datos vectoriales como Qdrant, Weaviate, Milvus o pgvector.
Conocimiento de arquitecturas MoE (Mixture of Experts), MoA (Mixture of Agents) y MoT (Mixture of Thought).
Experiencia afinando modelos mediante LoRA y QLoRA utilizando PyTorch.
Conocimiento sólido de Small Language Models (SLMs) y criterios para su utilización frente a LLMs de propósito general.
Experiencia desarrollando entornos de ejecución para agentes inteligentes, incluyendo gestión de contexto, herramientas, aprobaciones y evaluación.
Experiencia o conocimientos en modelos híbridos basados en reglas de negocio y Machine Learning.
Conocimientos de Docker, CI/CD, experimentación, despliegue y monitorización de modelos.
Nivel alto de inglés, tanto oral como escrito.
Capacidad para comunicar decisiones técnicas y resultados de IA a perfiles no especializados.

Se Valorará

Conocimientos de protocolos Agent-to-Agent (A2A) y Agent Communication Protocol (ACP).
Experiencia en técnicas como RLHF, DPO, destilación, cuantización y entrenamiento distribuido.
Experiencia con DeepSpeed, FSDP o tecnologías equivalentes.
Conocimientos de Kubernetes y despliegues híbridos u on-premise.
Experiencia con herramientas de optimización y resolución de restricciones como OR-Tools.
Conocimiento de frameworks de agentes como CrewAI, AutoGen, LlamaIndex Agents o SDKs de OpenAI y Anthropic.
Experiencia en Document AI, OCR avanzado y procesamiento documental.
Conocimientos de Knowledge Graphs y soluciones Edge AI.

Condiciones

Ubicación: Erandio, Bilbao.
Modalidad: Híbrida.
Jornada: Completa.
Tipo de contrato: Indefinido.
Participación en el desarrollo de productos y soluciones de Inteligencia Artificial de última generación.
Entorno tecnológico innovador, con acceso a tecnologías punteras de IA Generativa, sistemas multiagente, MLOps y automatización avanzada.
Posibilidad de crecimiento profesional en proyectos con un elevado componente de innovación tecnológica.

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada6 de nov.

. React Node.js PHP Python HTML Ruby Ruby on Rails

We power people’s progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team

The CRM team owns how Preply talks to millions of learners and tutors – every lifecycle email, push notification and in-app message that reaches them at the moments that matter, at scale and in every market we operate in.

We work across Preply's core platform, built with Python/Django on the backend and React on the frontend, and the CRM stack that powers our communications layer. Our focus now is adding more automation to that layer and making it AI-native so the team's output scales with the business.

We're proudly tech-agnostic, great engineers come from all kinds of backgrounds. Whether you’ve worked with Java/Spring, Node.js, Ruby on Rails, Scala/Play, PHP, or Go, you’ll feel right at home here. Python experience isn’t required.

We make decisions based on data and real user feedback: running A/B tests, shipping iteratively, and constantly improving. We also put a strong focus on observability, monitoring, and metrics, so we can keep our systems healthy and continue optimizing at scale.

At Preply, we ship 50–60 times per day, thanks to a solid CI/CD setup and a culture that values action over ceremony. As a fast-growing company, you’ll find a wide range of technical challenges (we even write about many of them on our Engineering Blog!), the kind of work that keeps you learning, stretching, and growing.

We’ve reached 90%+ adoption of AI coding tools across engineering, and we’re now moving towards more autonomous, AI-Augmented development at scale. At Preply, engineers have direct access to the best tools available, with the freedom to use them fully and experiment as they build.

What You’ll Be Doing

You will work in a truly cross-functional team alongside Engineers, CRM Marketers, Localisation specialists, Product Designers, UX Writers, and other stakeholders to deliver meaningful outcomes for learners and tutors. As a Senior Full Stack Engineer on the CRM team, you'll build the platform our communications run on, combining hands-on execution with technical leadership, helping shape both product direction and engineering excellence through initiatives that drive customer and business impact, including, but not limited to:

CRM Platform & Automation: Evolve how our communications get built and shipped - working with Braze and HTML templating, and building the automation and AI-assisted workflows that make campaign delivery faster and more reliable. Braze experience is a plus, not a requirement - it's knowledge the team already has and will share with you;
Back-end Development: Develop and own backend features using Python/Django, supporting the creation of new backend services as well as design, create, and/or troubleshoot integrations with third-party vendors including our CRM and communications stack;
UI Development: Develop and evolve frontend experiences in React/Typescript, contributing to experimentation frameworks and helping establish frontend engineering best practices;
Implementation & Ownership: Lead complex initiatives from discovery through deployment, taking ownership of solutions throughout their lifecycle and balancing immediate product needs with long-term sustainability;
Raising the Bar: Drive engineering excellence through mentorship, architectural reviews, and the adoption of best practices across frontend and backend development;
Data-Driven Product Development: Partner closely with Product, Data, and UX teammates to identify opportunities, validate hypotheses, and maximize customer value through experimentation and measurable outcomes;
System Design: Shape architectural direction for complex systems, making technical decisions that improve scalability, reliability, maintainability, and developer productivity;
Prioritisation & Decision-Making: Navigate ambiguity, evaluate trade-offs, and align technical investments with business objectives and customer impact;
Technical Leadership: Influence technical direction beyond your immediate scope, collaborating with engineers, managers, and stakeholders to drive alignment and successful delivery;
Chasing Excellence: Continuously raise the quality bar through craftsmanship, curiosity, continuous learning, and a commitment to helping others grow.

What You Need To Succeed

Full-Stack Expertise: Comfortable across the stack - building backend services in any major language, and working on the front end;
Internal Tooling Track Record: You've built and owned tooling or automation that other engineers depended on day to day, and you understand that adoption is part of the job, not a follow-up;
Email & Template Engineering: You can deliver production-ready email independently with a templating language, and you understand why email engineering is not web engineering - the rendering constraints, the client quirks, the testing burden.
AI Expertise: You're a forefront user of Agentic AI. You're able to bring hands on experience and start influencing the team beyond code generation; reserving judgment for architecture, business logic, and security, using AI as a thought partner and able to set up quality gates and safety nets to enhance existing engineering workflows and propose AI-native alternatives.
Scalable Systems & Architecture: Experience designing and evolving large-scale web applications, including well-designed APIs, distributed systems, high-volume data flows, and scalable architectural patterns. Ability to make sound technical trade-offs that balance short-term delivery with long-term sustainability;
Technical Leadership: Demonstrated ability to influence technical decisions, drive engineering best practices, and contribute to architectural direction within your team;
Product & Business Impact: Strong product mindset with the ability to translate ambiguous business challenges into scalable technical solutions, using experimentation, data, and customer insights to guide decisions;
Proactive Problem-Solving: Comfortable navigating ambiguity and independently solving complex technical and product challenges, while knowing when to engage others to maximize impact;
Ownership & Accountability: High level of self-organization, ownership, and responsibility, with a track record of driving initiatives from concept through delivery and measurable outcomes;
Collaboration & Communication: Excellent collaboration, stakeholder management, and communication skills, with the ability to work effectively across engineering, product, design, and data functions. English level B2 or higher;
Engineering Excellence: Experience working in a cross functional team, contributing to code and design reviews, and helping raise the engineering bar through knowledge sharing and technical leadership;
Operational Excellence: Understanding of observability, reliability, monitoring, and operational best practices, with willingness to participate in your squad’s on-call rotation (1 week every 5 weeks);

Our Principles

Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

Flexibilitat horàriaSi
Nivell d'experiència---
Tipus de contracteA temps complert
Publicada6 de nov.

Teletreball React .Net C# PHP Azure Angular Docker Cloud Coumputing Kubernetes REST DevOps Redis Microservices .Net Core Go

Proyecto estable
Formarás parte de un ecosistema de Talento Tecnológico

¿Dónde vas a trabajar?

Michael Page, dentro del área especializada en servicios de externalización y realización de proyectos IT en clientes, ofrece una amplia variedad de soluciones tecnológicas a medida con la flexibilidad y agilidad requerida por las organizaciones.

Más información: https://www.michaelpage.es/seleccion-personal/consulting-tech-solutions#webform-submission-pardot-es-mp-pc-non-ch10-ct22-pa-paragraph-14246-add-form

Descripción

Desarrollo y evolución de APIs REST y componentes distribuidos.
Participación en despliegues cloud sobre Azure.
Colaboración con equipos DevOps para garantizar la fiabilidad de pipelines CI/CD.
Realización de revisiones de código y aplicación de buenas prácticas de desarrollo.
Resolución de incidencias en entornos de desarrollo, pruebas y producción.
Colaboración con equipos de producto y arquitectura para definir soluciones técnicas.
Participación en la planificación de entregas alineadas con la hoja de ruta del producto.
Seguimiento de riesgos, incidencias y estado de los desarrollos.
Cumplimiento de procesos internos y estándares de calidad.

¿A quién buscamos (H/M/D)?

Más de 4 años de experiencia desarrollando con .NET (C#).
Experiencia con .NET Core / .NET 6, 7 u 8.
Experiencia en desarrollo de Web APIs y programación asíncrona.
Experiencia sólida en Microsoft Azure.
Conocimientos de Azure App Services.
Experiencia con Azure Functions.
Experiencia con Azure Service Bus y/o Event Grid.
Conocimientos de Azure DevOps y pipelines CI/CD.
Experiencia en diseño y desarrollo de APIs REST.
Conocimientos de arquitecturas distribuidas.
Buen entendimiento de principios SOLID, testing y arquitectura limpia.
Nivel de inglés C1 o superior.

Valorable

Experiencia con React, Angular o Vue.
Conocimientos de Docker y Kubernetes.
Experiencia con Cosmos DB, Redis u otras bases de datos cloud.
Experiencia en arquitecturas de microservicios.
Conocimientos de GoLang o PHP.

¿Cuáles son tus beneficios?

Contrato indefinido con Michael Page (Tech Solutions).
Salario en función de la experiencia aportada.
Modelo híbrido de teletrabajo (2 días a la semana presencial).
Ubicación: Pozuelo de Alarcón, (Madrid). No se valorarán candidaturas de profesionales residentes fuera del territorio nacional.
Flexibilidad horaria.
Formación continua para desarrollar tu talento.
Beneficios sociales y plan de retribución flexible.
Compensación de gastos de teletrabajo.
Plan de carrera en un ecosistema de talento tecnológico.
Vacaciones: 24 días laborables.
Beneficios Cobee con bolsa anual de 1.200 €.
MyLearningHub: plataforma de formación continua.
Wellhub: acceso a actividades deportivas y de bienestar.
Employee Assistance Program (Lyra).
The Genuine Travel.
Portal de descuentos para empleados.

Tipus	Nom	Finalitat	Durada
Sessió	ASP.NET_SessionId	Administra la sessió de l'usuari en el lloc web	Durant la sessió de l'usuari
Sessió	wj_uuid	Identifica l'usuari en diferents sessions	1 any
anti falsificació	.AspNetCore.Antiforgery.*	Proporciona protecció contra atacs de falsificació de sol·licituds entre llocs	Durant la sessió de l'usuari
Autentificació	.AspNetCore.Cookies	Emmagatzema dades encriptades de l'usuari que es requereixen per accedir o mostrar dades en el lloc	Durant la sessió de l'usuari
RGPD	.AspNet.Consent wj_con_pe wj_con_ad wj_con_an	Emmagatzemen informació relativa a les preferències de l'usuari sobre el Reglament General de Protecció de Dades o RGPD	1 any

Tipus	Nom	Finalitat	Durada
Idioma	.AspNetCore.Culture	Emmagatzema informació relativa a la teva preferència d'idioma	1 any
Cerca	wj_loc wj_search wj_tags wj_tags_loc	Emmagatzema informació per recordar les teves preferències de cerca	1 any
Favorits	wj_bookmarks wj_likes	Emmagatzema informació relativa al teu contingut favorit	1 any
Alertes per email	wj_e_sub	Indica si l'usuari esta o no subscrit a les alertes per email	1 any
Alertes per email	wj_e_sub_v	Indica si el usuario ha verificado o no su suscripción por email	1 any
Alertes per email	wj_e_sub_a	Indica si el usuario tiene o no activas las alertas por email	1 any
Alertes amb OneSignal	__cfduid	Pots conèixer com OneSignal fa servir la informació de llocs o aplicacions que usen els seus serveis visitant el seu lloc web	1 mes
Sessió	wj_tv	Indica si l'usuari és recurrent	1 any

Tipus	Nom	Finalitat i durada
Google Analytics	_ga _gat _gid AMP_TOKEN _gac_* _lc.visitor_id.*	Pots conèixer com Google utilitza la informació de llocs o aplicacions que usen els seus serveis visitant el seu lloc web
Hotjar	_hjClosedSurveyInvites _hjDonePolls _hjMinimizedPolls _hjShownFeedbackMessage _hjid _hjRecordingLastActivity _hjTLDTest _hjUserAttributesHash _hjLocalStorageTest _hjIncludedInPageviewSample _hjIncludedInSessionSample _hjAbsoluteSessionInProgress	Pots conèixer com Hotjar fa servir la informació de llocs o aplicacions que usen els seus serveis visitant el seu lloc web

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