AI Engineer
Mission Are you ready to take part in the upcoming AI revolution of the business world?
Mission
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!
About Us 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 AI Engineers who are passionate about the power of AI and love turning agentic systems into reliable, production-grade products: people who pair strong software engineering with applied AI, and who care as much about latency, evaluation, and robustness as they do about the model itself. Your job is to build and scale the agentic systems that power Aily's decision intelligence platform — and to make sure they work in production, at enterprise scale.
Core responsibilities - 5+ years of experience
Own complex features and lead technical initiatives from design to implementation — grounding agents in structured business data, multi-agent orchestration, context/memory, tool use, and fast/deep response paths, in production-grade, async, typed Python
Take strong ownership of quality and performance: evaluation frameworks, monitoring, latency, and reliability of your team's developments in production.
Interact with other functions and agree on exchange protocols and architecture (Data Engineering, Backend, …).
Sponsor the creation and implementation of new software and ML standards; mentor junior teammates on technical topics, including Python engineering practices (typing, async, testability).
Communicate and align with internal and external stakeholders: present and explain the AI behind business outcomes.
Who we’re looking for
You are impact-driven and thrive at the intersection of AI and ML engineering, and want to build real systems that power decision-making at scale.
A scientist and a builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting-edge techniques with simple, scalable, reliable solutions that work in production.
Posted July 29, 2026