ph3ABOUT THE ROLE /h3 /brpWe are seeking a hands-on, technically fluent engineer to drive the adoption of AI across our entire development organization - someone who finds the friction in how teams work and turns it into automated, AI-powered solutions. /p /brpAs our bAI Enablement Engineer /b, you will embed with engineering and product teams to identify where AI can remove repetitive, manual work, then build and ship the solutions that make it happen. You will work closely with our AI Efficiency Architects and AI Evangelist to turn high-level AI strategy into concrete, measurable wins on the ground. /p /brpThis role is adecuado for someone who enjoys variety, moves fast, and gets real satisfaction from seeing their work adopted and relied upon by teams across the company. /p /brh3Your Mission /h3 /brpAccelerate how the entire development organization works by finding high-impact use cases for AI, building the solutions that automate them, and spreading those wins so they scale across teams. /p /brh3YOU WILL BE RESPONSIBLE FOR: /h3 /brul /brlipbUse Case Discovery: /bwork directly with engineering and product teams to map their workflows, spot repetitive or slow processes, and identify the highest-impact opportunities for AI-driven automation across the development organization. /p /li /brlipbRapid Prototyping Delivery: /bact as a builder - lead the technical design and implementation of working solutions such as prompt workflows, lightweight agents, scripts, and integrations that prove value fast, then partnering with the AI Efficiency Architects to harden anything that needs to run in production. /p /li /brlipbReusable Enablement Assets: /bcreate templates, playbooks, and repeatable patterns so a proven AI win can spread from one team to many without bespoke work each time. /p /li /brlipbAdoption Measurement: /bdrive genuine adoption of AI tooling across teams and tie every solution back to concrete outcomes - time saved, throughput, and delivery speed - so impact is visible and quantifiable to leadership.



/p /li /brlipbFeedback to the Platform: /bsurface recurring needs and friction back to the AI Efficiency Architects, so the internal AI gateway and tooling evolve toward what teams actually need. /p /li /brlipbTechnical Mentorship Influence: /b mentor senior engineers on AI best practices and influence engineering roadmaps. /p /li /br /ul /brh3OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: /h3 /brh3ESSENTIAL SKILLS /h3 /brul /brlipbStaff-Level Engineering Foundations: /b 8+ years of professional software engineering experience (Java, Python, Go, or TypeScript) with a proven track record of delivering complex, distributed systems in a production environment. /p /li /brlipbProduction-Ready AI Expertise: /b Deep, hands-on experience moving AI from a cool prototype to a real-world tool. You don’t just write basic prompts - you know how to build reliable agents and RAG workflows, and you understand the practical side of LLMs, like managing costs, speed, and context limits to make tools actually work for production. /p /li /brlipbStrategic Problem-Solving: /b You have a strong bias for action and can take a vague problem and turn it into a working solution fast. While you focus on delivering value quickly rather than chasing perfection, you always think big - building smart, reusable tools that fix root problems for hundreds of developers, not just one team. /p /li /brlipbCollaboration Communication: /bexcellent interpersonal skills and the ability to work alongside many different teams, understand their needs, and bring them along on the adoption journey. /p /li /brlipbSDLC/DevOps Familiarity:



/bworking knowledge of the tools that underpin the software delivery lifecycle (e.g., GitLab/GitHub, CI/CD pipelines, source control) so that solutions fit naturally into how teams already work. /p /li /brlipbSelf-Direction: /bcapacity to manage a varied portfolio of work across multiple teams, prioritize for impact, and deliver with minimal supervision. /p /li /br /ul /brh3NICE TO HAVES /h3 /brul /brlipExcellent presentation and training skills /p /li /brlipPrevious experience running enablement, developer experience, or internal tooling initiatives /p /li /br /ul /brh3WHO WE ARE /h3 /brpAt the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. /p /brh3BENEFITS /h3 /brul /brlipHybrid work policy (3 days a week of working from home) /p /li /brlip4 weeks of Workation (TC apply) /p /li /brlip300 EUR wellness contribution annually /p /li /brlipCobee - benefits app with flexible compensation and discounts /p /li /brlipHealth insurance (we use Alan) /p /li /brlipLife insurance /p /li /brlipEmployee Assistance Program (free emotional, legal, and financial support) /p /li /brlipShort Fridays - we work until 16:00 /p /li /brlipComplimentary snacks and drinks in our offices, Monday breakfast and Wednesday fika (Swedish break for coffee and something sweet) /p /li /brlipTeam and office social events throughout the year /p /li /br /ul /brpIn our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! /p /brpWould you be a good fit for the Leo Pride - give us a roar! /p /brh3As our company working language is English, we’d like to see your CV in English, please /h3 /p #J-18808-Ljbffr

📌 AI Enablement Engineer (Andalucía)
🏢 LeoVegas
📍 Andalucía