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2,240

Inteligencia Artificial jobs in Spain

Senior AI Productivity Engineer

Lansweeper NV

Comunidad Valenciana
On-site
EUR 50,000 - 70,000
4 days ago
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Artificial Intelligence Engineer

Explore Group

Alicante
On-site
EUR 55,000 - 75,000
4 days ago
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AI Engineer

NeuralTrust

Tarragona
Remote
EUR 50,000 - 70,000
4 days ago
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AI Artist

Pixelz Inc

Barcelona
Hybrid
EUR 25,000 - 35,000
4 days ago
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Dentista - AI519

Clinica Dental Montané

Terrassa
On-site
EUR 70,000 - 90,000
4 days ago
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AI Workflow Builder & Solution Engineer - French fluent

Paradox EN

Zaragoza
Remote
EUR 35,000 - 40,000
4 days ago
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AI Expert

Universidad Europea

Murcia
Hybrid
EUR 50,000 - 70,000
4 days ago
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Project Manager Digital & AI

Gram Precision SL

l'Hospitalet de Llobregat
Hybrid
Confidential
4 days ago
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AI Innovations Lead

beBeeArtificial

Marbella
On-site
EUR 30,000 - 50,000
4 days ago
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▷ Solo Quedan 24h : AI Specialist

Solarig

Madrid
On-site
EUR 30,000 - 45,000
5 days ago
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AI Platform Engineer (Mosaic)

NN

Madrid
Hybrid
EUR 50,000 - 70,000
5 days ago
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AI & Data Science

GfK - An NIQ Company

Comunidad Valenciana
Hybrid
EUR 30,000 - 40,000
5 days ago
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Freelance AI Trainer - Physics & Python

Mindrift

Spain
Remote
EUR 30,000 - 50,000
5 days ago
Be an early applicant

Sr. Software Engineer - Charlotte AI (Remote)

CrowdStrike

Barcelona
Hybrid
EUR 40,000 - 70,000
5 days ago
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AI Workflow Builder & Solution Engineer - French fluent

Paradox EN

Spain
Hybrid
EUR 50,000 - 70,000
5 days ago
Be an early applicant

Advanced AI Developer

beBeeArtificial

Madrid
On-site
EUR 45,000 - 65,000
5 days ago
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AI & Machine Learning Engineer

AbbVie Inc

Madrid
On-site
EUR 45,000 - 70,000
5 days ago
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Middle AI Engineer

CONVOTIS Iberia

Comunidad Valenciana
Hybrid
EUR 40,000 - 60,000
5 days ago
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AI Software Development Engineer

beBeeArtificialIntelligence

Madrid
On-site
EUR 45,000 - 70,000
5 days ago
Be an early applicant

Computer Vision Engineer Ai Data Scientist

Techyon Espana

Alicante
Hybrid
EUR 35,000 - 55,000
5 days ago
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Artificial Intelligence Engineer

Explore Group

Málaga
On-site
EUR 50,000 - 70,000
5 days ago
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Senior Research Engineer, Artificial Intelligence

Rithum

Spain
Remote
EUR 60,000 - 80,000
5 days ago
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AI Solution Engineer - Fullstack - Junior Rails Engineer (Barcelona, Spain)

Yuma AI

Cataluña
On-site
EUR 50,000 - 70,000
5 days ago
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Strategic SEO & AI search specialist

Lansweeper

Alicante
Hybrid
EUR 50,000 - 70,000
5 days ago
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Senior Ai Developer

Tokiota

Spain
On-site
EUR 30,000 - 50,000
5 days ago
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Senior AI Productivity Engineer
Lansweeper NV
Comunidad Valenciana
On-site
EUR 50,000 - 70,000
Full time
4 days ago
Be an early applicant

Job summary

A leading IT asset management company in Spain is seeking a Senior AI Productivity Engineer to enhance software development efficiency using advanced AI tools. The ideal candidate will have over 5 years of experience in software engineering and proficiency in multiple programming languages. This full-time role offers a competitive salary, flexible hours, and opportunities for professional growth.

Benefits

Flexible working hours
Access to leading tools and technology
Internal and external training opportunities
Competitive salary
Additional company benefits

Qualifications

  • 5+ years of experience in software engineering, platform engineering, or productivity tooling.
  • Proven experience deploying or experimenting with LLM-based developer tools.
  • Strong understanding of Agile, software metrics, and experimentation design.

Responsibilities

  • Design and maintain AI-powered development tools to improve workflows.
  • Drive experimentation initiatives to validate productivity interventions.
  • Integrate AI capabilities and monitor performance to ensure quality.

Skills

Fluency in English
Software engineering experience
Experience with LLM-based tools
Knowledge of Agile methodologies

Tools

Python
TypeScript
Go
Rust
Job description

Lansweeper is an IT asset management software helping businesses better understand, manage, and protect their IT devices and network. We currently discover and monitor around 100 million connected devices for over 25,000 customers, including Mercedes, FC Barcelona, Michelin, Sony, Carlsberg, Nestlé, IBM, Maersk, and Samsung, as well as governments, banks, NGOs, and universities. We’re driven by 150+ team members across Belgium, Spain, Italy, Ireland, the UK, and the USA.

Over 90% of our customers renew their subscriptions each year, and 250+ new customers join us every month. Our culture emphasizes improvement, ownership, and progress, fostering ongoing learning, challenges, and fun under our "work hard, play hard" value.

This is a new role at Lansweeper where you can make an impact quickly!

We are seeking a highly skilled AI Productivity Engineer to join our Engineering Operations team. This role focuses on leveraging advanced AI tools and protocols to enhance the efficiency, quality, and velocity of software development across engineering teams. You will bridge AI systems, developers, and operational workflows, designing, testing, and deploying intelligent tooling to make development faster, smarter, and more collaborative.

A day in the life of a Senior AI Productivity Engineer
  • Design, build, and maintain AI-powered development tools that improve engineering workflows (e.g., code assistants, smart reviewers, intelligent scaffolding).
  • Drive experimentation initiatives using data-informed hypotheses to validate productivity interventions.
  • Operationalize agentic AI systems (e.g., autonomous dev agents) with knowledge of agent orchestration and feedback loops.
  • Integrate AI capabilities using the Model Context Protocol (MCP) and other standards to streamline model and agent interactions.
  • Collaborate with engineering leadership and DevOps to implement systems tracking productivity metrics, quality indicators, and developer experience signals.
  • Evaluate and adapt open-source and proprietary models for in-editor assistance and IDE augmentation.
  • Partner with security and compliance teams to ensure responsible AI usage in developer workflows.
  • Monitor AI system performance, identify hallucination or misalignment risks, and build automated feedback and escalation mechanisms.
  • Facilitate internal education and tooling onboarding for engineers to maximize AI benefits.

Are you the new Senior AI Productivity Engineer at Lansweeper?

I am someone who
  • is fluent in English with excellent communication and presentation skills.
  • has +5 years of experience in software engineering, platform engineering, or productivity tooling.
  • has proven experience deploying or experimenting with LLM-based developer tools, especially involving code generation, review, and planning.
  • holds deep knowledge of agentic AI patterns and orchestration frameworks.
  • has hands-on experience with MCP and familiarity with multi-agent development environments.
  • has a strong understanding of Agile, software metrics, experimentation design (A / B testing, rollouts), and productivity frameworks (e.g., SPACE, DORA).
  • is familiar with modern engineering environments (monorepos, CI / CD pipelines, telemetry systems, IDE plugins…)
  • proficient in at least one high-level language (e.g., Python, TypeScript, Go, Rust) and infrastructure-as-code tools.
  • can independently build software applications through complete development lifecycle processes.
Going for gold?
  • Contributions to open-source AI tooling for developer productivity.
  • Background in HCI, developer experience, or behavioral data analytics.
Our offer you can’t refuse
  • Growing with a rapidly expanding company
  • Variety, challenges, and responsibility
  • Relaxed teamwork environment
  • Access to leading tools and cutting-edge technology
  • Full-time long-term contract
  • Competitive salary
  • Additional company benefits
  • Flexible working hours
  • Internal and external training opportunities
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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