20 publicaciones de empleo destacadas de senior ai engineer, agentic systems en madrid, md (¡Están contratando!)

Forward Deployed Engineer
InteractiveAI —Madrid, Madrid provincia
- De 70.000 € a 100.000 € al año
- Jornada completa
- Azure
- Salesforce
- Máster
Solicitud rápida
AI Builder, Emerging Talent - Polish Market
Salesforce —Madrid, Madrid provincia
- Jornada completa
- Informática
- Ventas
- Inglés
Senior Full Stack Engineer
Duetto Research —Madrid, Madrid provincia
- Teletrabajo
- Java
- Hotel
- SQL
Solicitud rápida
AI Infrastructure Solutions Engineer
DDN —Madrid, Madrid provincia
- Jornada completa
- DevOps
- Máster
- Scripting
Solicitud rápida
Senior AI Automation Engineer (AI Agents & Workflows)
knowmad mood —Las Rozas de Madrid, Madrid provincia
- Teletrabajo
- Inglés
- Java
- Máster
- Formación continua
- Flexibilidad horaria
5d
Senior Machine Learning / AI Engineer
Chegg —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- SQL
11d
Senior QA AI Engineer
knowmad mood —Madrid, Madrid provincia
- Teletrabajo
- Azure
- DevOps
- Máster
AI Business Analyst / Product Manager
Neurons Lab —Madrid, Madrid provincia
- Media jornada
- Teletrabajo
- Máster
- Servicios financieros
- Inteligencia artificial
Back-end Engineer (Senior)
Xe —Alcobendas, Madrid provincia
- De 65.000 € a 80.000 € al año
- Jornada completa
- Trabajo híbrido
- Java
- SQL
- AWS
Solicitud rápida
Lead AI/ML Engineer - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Oficina
- Máster
Solicitud rápida
Python Machine Learning Engineer (Hybrid - Madrid)
UST —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
- Abono gimnasio
Solicitud rápida
Senior AI & ML Engineer / Generative AI
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Mantenimiento
- Inglés
- Reparto de beneficios empresariales
- Seguro médico privado
Senior Machine Learning Engineer
EPAM Systems, Inc. —Moncloa-Madrid, Madrid provincia
- Informática
- DevOps
- Oficina
- Vacaciones pagadas
- Programa de recomendación
Sr Fullstack (Python +React/Vite) & AI Engineer (Remote)
knowmad mood —Madrid, Madrid provincia
- Teletrabajo
- Bases de datos
- SQL
- AWS
- Formación continua
- Flexibilidad horaria
5h
AI Software Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Java
AI Solutions Architect
MSX International —Madrid, Madrid provincia
- De 35.000 € a 55.000 € al año
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- Máster
Solicitud rápida
AI Builder, Emerging Talent - Hebrew Market
Salesforce —Madrid, Madrid provincia
- Jornada completa
- Informática
- Ventas
- Inglés
Senior Product Engineer / AI Solution Architect
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
3d
Engineering Director — UFM Platform
Faubourg Mobility —Madrid, Madrid provincia
- De 90.000 € a 144.000 € al año
- Jornada completa
- Teletrabajo
- Inglés
Solicitud rápida
5d
DevOps Engineer CI/CD
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Scripting
- Inteligencia artificial
Solicitud rápida

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Forward Deployed Engineer

InteractiveAI
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa
De 70.000 € a 100.000 € al año

Cualificaciones

Azure
Node.js
Derecho
Relational databases
Salesforce
Máster
AWS
Docker
Zendesk
PostgreSQL
Terraform
Redis
APIs
ServiceNow
Cloud
GraphQL
HubSpot
Python

Descripción completa del empleo

What You’ll Do

As a Forward Deployed Engineer at Interactive AI, you will operate at the frontier of autonomous systems and real-world business impact. You won’t just be building PoCs or isolated pilots; you will be deploying production-grade agentic solutions that solve critical business bottlenecks and drive measurable impact across a diverse range of industries.
Your mission is to bridge the gap between abstract reasoning and production-grade reliability. You will own the end-to-end journey: from deeply understanding a customer’s unique business case and identifying technical pre-requisites to deploying our proprietary agentic framework and platform to resolve the business challenges at hand.
Crucially, you are a core part of our innovation engine. By deploying in the field, you will identify framework limitations and directly contribute code and feedback to our core engineering team, ensuring our agentic architecture and platform evolve alongside the most demanding real-world use cases.
1. Autonomous Agent Deployment & Architecture

Master and Deploy Interactive Agents: Develop a first-principles understanding of our proprietary framework to architect multi-agent orchestrations and adaptive reasoning loops within customer environments.
Lead Technical Scoping: Independently translate ambiguous business problems into executable agentic architectures, defining the necessary tool-use requirements and safety guardrails.
Synthesize Business Context: Deeply analyze the unique challenges of customers—ranging from agile medium-sized companies to large enterprises—to design tailored agentic strategies that drive measurable ROI.

2. Custom Tooling & System Implementation

Build Cognitive Extensions: Engineer MCP (Model Context Protocol) tools, CLI interfaces, and custom Python/Node.js backend services that allow agents to interact fluently with diverse customer tech stacks.
Implement Memory & Data Pipelines: Build state management systems and data pipelines to ensure agents maintain long-term context and remain grounded in accurate, customer-specific data.
Bridge the Integration Gap: Identify and implement the necessary pre-requisite integrations (APIs, databases, ticketing systems) required for agents to effectively resolve the target business case.

3. Framework Evolution & Product Feedback

Close the Innovation Loop: Act as the primary bridge between the field and core engineering, providing direct code contributions and real-world performance insights to improve our underlying agentic framework and platform.
Scale Through Best Practices: Author reusable deployment patterns, agent blueprints, and "best-in-class" tool-use practices that accelerate the implementation cycle for future customers.

4. Agent Reliability & Production Ownership

Orchestrate & Scale Workloads: Deploy and manage containerized agent environments within the InteractiveAI platform, optimizing for the unique resource demands of the business problem being solved.
Ensure Production Excellence: Own the end-to-end reliability of the solution, troubleshooting autonomous decision-making issues and ensuring agents are tuned for self-correction in live settings.

What We’re Looking For

We’re looking for an engineer who thrives in customer-facing, execution-heavy environments and enjoys owning delivery outcomes end to end.
Minimum Requirements

5+ years of experience in backend engineering, systems integration, or delivery-focused roles.
Strong proficiency in Python or Node.js, with the ability to write clean, performant code for agentic orchestrators and toolsets.
Proven track record of building complex system integrations, including APIs, connectors, and custom backend services.
Technical Problem Discovery: Strong communication skills and the ability to translate high-level business problems into executable engineering work for both medium and large-sized customers.
Agentic Exposure: Previous experience building or deploying agent-based systems, multi-agent frameworks, or RAG-based applications.
MCP Ecosystem: Familiarity with the Model Context Protocol (MCP) or building custom CLI-based tools for LLM interaction.
Hands-on experience with RESTful and/or GraphQL APIs, and the ability to translate these into functional tools for LLM consumption.
Strong familiarity with Cloud Infrastructure (AWS, GCP, or Azure) and experience deploying/managing Docker-based workloads.
Solid understanding of Data Architecture, specifically relational databases (Postgres) and in-memory stores (Redis) within integration contexts.
High Degree of Autonomy: Ability to walk into an ambiguous business setting, identify technical pre-requisites, and architect a solution from scratch.

Nice-to-Haves

Experience with Kubernetes: Proficiency in managing, scaling, and troubleshooting containerized workloads at the orchestration level.
Infrastructure-as-Code (IaC): Comfort using Terraform or similar tools to manage deployment environments.
Enterprise Ecosystems: Experience integrating platforms like Salesforce, HubSpot, ServiceNow, Zendesk, or Snowflake.
Identity & Security: Familiarity with enterprise authentication systems (OAuth, SAML, SCIM, Okta) as they relate to autonomous tool-use.
Solution Consulting Background: Experience in technical delivery or systems integration where understanding the "business case" was as critical as the code.
Event-Driven Architectures: Experience with messaging platforms or streaming data pipelines that can feed real-time context to agents.

What You’ll Get

Competitive base salary (€70,000/yr to €90,000/yr) + performance bonuses
Access to equity/share plan as it rolls out
Private health insurance
Flexible work setup + travel when needed (ideally Hybrid in Lisbon, Madrid or Dublin)
Meal card and transportation benefit through CoverFlex, as available in each country
Up to 23 days PTO (excluding local public holidays)

Who You Are

Delivery-Minded – You love solving real client problems and building integrations that work in the real world.
Pragmatic & Resourceful – You find practical solutions and adapt quickly to each client's environment.
High-Ownership Executor – You deliver high-quality work independently and reliably.
Strong Communicator – You work well with delivery managers, enterprise customers, and internal engineering teams.

Interview Process

We keep our process focused and respectful of your time. Most candidates complete it in 2–3 weeks. Here’s what to expect:

Intro Call – 30 minutes
Culture & Values Alignment interview – Focused on your motivations to join InteractiveAI
Engineering Interview – Practical problem-solving and implementation-focused technical discussion
Delivery & Collaboration Interview – Working style, client interaction, communication
Offer – Final conversation and offer details

About us

InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.

We are building the next generation of enterprise AI solutions, delivering an innovative, scalable, and compliant agentic AI infrastructure to businesses across industries. Our platform allows organisations to build, own, and scale AI that learns from every interaction.

We value autonomy, speed, and innovation and are building a world-class team to match. Our squads are lean, focused, and execution-driven. If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes, this is for you.

Solicitud rápida

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