MissionAre you ready to take part in the upcoming AI revolution of the business world? If the answer is a resounding "yes," we have an extraordinary opportunity for you!About UsAily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models, and agentic AI to give business leaders clear, actionable insights in real time.Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.We are looking for MID AI/ML Engineers who are passionate about the power of AI and love building robust AI/ML systems: people who turn models into reliable, scalable products, and ensure our AI solutions are production-ready, efficient and impactful. Your job is to build and scale the AI/ML infrastructure and pipelines that power Aily’s decision intelligence platform.About This Team - AI PlatformThe AI Platform team is the backbone of Aily’s decision intelligence. We design, build, and operate libraries, tools, and the shared AI/ML infrastructure that enables AI & Data teams to empower business-critical decision-making for our enterprise users.Our 3 missions are to enable innovation at scale, to minimize entropy, and to accelerate progress for Aily.If you enjoy working at the intersection of AI and software, closely collaborating & empowering other teams, setting technical direction, and turning complexity into leverage, this team is the right place to make your mark.Your profileCore responsibilities 3+ years of experienceContribute to building and maintaining ML systems and pipelines (data → model → deployment → monitoring) with guidance from mid/senior engineersSupport productization of AI/ML models and LLMs by working on APIs, infrastructure, and applying software engineering best practices (testing, CI/CD, versioning)Collaborate with data scientists and engineers to deliver scalable solutions, monitor systems in production, and communicate progress and technical challengesPartner with Data Scientists and Engineers to bring AI solutions to productionDesign and implement end-to-end ML pipelines (data→model→deployment→monitoring) autonomouslyContribute to APIs, tools, and libraries used by more than 100 AI team members daily (including Cloud & LLM Infrastructure and AI-driven features)Communicate with your team: present results and findings, identify gaps and opportunities, and learn to explain our product and software/AI behindRequirements: Solid AI/ML fundamentals, strong Python, APIs/K8s/Docker/Cloud experience, mentor junior team members on technical topicsWho we’re looking forYou are impact-driven and thrive at the intersection of AI, business, ML engineering, and product. You want to build real systems that power decision-making at scale.A builder: you enjoy shipping reliable solutions, improving systems and tooling, and making things work in production at scale.A strong collaborator who enjoys working with Data Scientists, Product Managers, and Engineers, and can explain trade-offs and designs in simple terms.Someone with a startup mindset: comfortable with ambiguity, proactive, hands-on, and willing to improve things beyond your immediate scope.Ready to Lead Boldly - helping Aily and its customers scale AI systems that enable faster, smarter decisions every day.Applicants must already have the legal right to work in Spain or GermanyLocation & detailsLocations: Madrid (MAD), Barcelona (BCN), and MunichContract type: Permanent.Work policy: Hybrid (2 days per week in the office)About UsLEARN MORE
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