At a Glance
- Tasks: Lead AI projects, design models, and drive impactful solutions for businesses.
- Company: Aily Labs, a fast-growing B2B SaaS company revolutionising AI in business.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic startup environment with a focus on innovation and measurable impact.
- Why this job: Join the AI revolution and help businesses make data-driven decisions with real-time insights.
- Qualifications: 4-6+ years in AI engineering, strong communication, and leadership skills.
The predicted salary is between 63000 - 77000 £ per year.
Are 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!
Aily 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 powered by GenAI 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 Senior or Lead Data Scientists and AI Engineers who are passionate about the power of AI and who thrive at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they’re applied. Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact.
About this team - Agent Pillar: We develop the Super Agent – an agentic decision advisor that guides users from questions to decisions through natural dialogue. We also create vertical decision intelligence agents that synthesize insights across domains, helping F500 clients turn complex data into measurable business outcomes. This is all pulled together with the GenAI systems that surface insights and decision triggers to ensure users can respond to risks and opportunities immediately. We're building production LLM systems at enterprise scale – which means tackling hard problems in evaluation, reliability, and latency while staying at the research frontier. Our challenges include grounding agents in structured business data, coordinating multi-agent workflows, and ensuring robust performance in high-stakes decision contexts. We pair strong engineering with applied research, contributing to the field through publications and establishing technical differentiation in a fast-moving space.
Core responsibilities:
- 4-6+ years of experience
- Build and maintain features with strong ownership over quality and performance.
- Own key features and projects, designing and improving models, pipelines and experimentation frameworks.
- Communicate and align with stakeholders, identifying gaps and opportunities and turning business requirements into AI solutions.
- Provide technical and people leadership: set modelling standards, mentor teammates, and lead cross-functional delivery with PMs, engineers and customers to drive measurable business impact.
Who we’re looking for:
- Someone who thrives at the intersection of business, analytics and AI and wants to ensure AI solves the right problems with measurable impact.
- A scientist and builder: you explore multiple approaches, analyze results and iterate fast, balancing cutting-edge techniques with simple, scalable solutions.
- A strong communicator who adapts the message to different audiences and enjoys working cross-functionally with product, engineering and business stakeholders.
- Someone with a startup mindset: comfortable with ambiguity, proactive and hands-on when something needs fixing or improving.
- Ready to Lead Boldly – helping business leaders make decisive decisions powered by real-time AI insights.
Applicants must already have the legal right to work in Spain or Germany.
Locations: Madrid (MAD), Barcelona (BCN) and Munich.
Contract type: Permanent. Work policy: hybrid (2 days per week in the office).
Principal / Senior AI Engineer – Agents Team - BCN/MAD in Barcelona employer: Aily Labs GmbH
Aily Labs is an exceptional employer, offering a dynamic work environment at the forefront of AI and manufacturing transformation. With a strong emphasis on employee growth, you will have the opportunity to take ownership of impactful projects while collaborating with Fortune 500 leaders in a hybrid setup across vibrant locations like Madrid, Barcelona, and Munich. Our culture promotes open feedback, continuous learning, and memorable team experiences, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Principal / Senior AI Engineer – Agents Team - BCN/MAD in Barcelona
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Aily Labs GmbH!
✨Show Off Your Projects
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We think you need these skills to ace Principal / Senior AI Engineer – Agents Team - BCN/MAD in Barcelona
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Aily Labs GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aily Labs GmbH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Aily Labs GmbH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aily Labs GmbH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
