• Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). • Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. • End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. • LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. • AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. • Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. • Mentor junior engineers and contribute to technical direction and engineering best practices.

We are the platform turning browsing into shopping. We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands. We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases. Ready to spark your growth with us? 🚀 WHO WE LOOK FOR 🦄 We are looking for a Senior AI Engineer to join our Engineering team as a founding member of a new, high-impact venture. This is a "greenfield" role: you’ll be the first hire for a brand-new AI-powered application within our ecosystem, centered around conversational and agentic interfaces. You won't just be adding features; you'll be designing the system, making core architectural decisions, and reporting directly to the Engineering Director. As the team scales, you’ll play a central role in hiring, shaping the culture, and setting engineering standards from day one. If you are a builder who thrives in ambiguity and is excited to turn the latest AI advancements into a product used by millions, this role is for you! WHAT YOU WILL DO 🏄 - Lead the development of a new AI-powered product, from initial architecture to production-ready code. - Design and build sophisticated conversational experiences and agentic workflows that solve real shopper needs. - Own the full-stack lifecycle, ensuring seamless integration between LLM capabilities, backend logic, and frontend interfaces. - Set the bar for AI engineering standards, including RAG patterns, prompt engineering, and model orchestration. - Shape the future team by participating in hiring and mentoring as the project expands. - Collaborate directly with leadership to influence product strategy and technical roadmap. - Implement "AI-first" development workflows, leveraging tools like Claude Code to accelerate delivery. WHAT YOU WILL NEED 🪄 - Proven experience building AI-powered products (conversational UIs, agentic systems, or LLM applications). - Strong Full-Stack skills: you are comfortable owning the entire stack to get a product off the ground. - Deep AI/ML Tooling knowledge: expert-level familiarity with LLMs, RAG, agents, and orchestration frameworks (e.g., LangChain, CrewAI, etc.). - A Product Mindset: you care about user impact and business value, not just the elegance of the code. - Comfort with Ambiguity: you excel in greenfield environments where the path isn't always paved. - Growth Mindset: you seek feedback, learn loudly, and are eager to continuously improve. - Fluent in English: you’ll be working in a global, distributed environment. 👉 At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you! NICE TO HAVE 🎆 - Experience with the AWS stack and serverless architectures. - DevOps skills: familiarity with deploying and monitoring AI applications at scale. - Prior experience in e-commerce or high-traffic consumer-facing products. - Experience in early-stage startups or "vanguard" teams within larger orgs. SALARY RANGE ⚖️ : €80,000 – €100,000 fixed gross salary per year. LOCATION 🌐 While we have offices all around the world, you can benefit from our flexible hybrid model, empowering you to work where you’re most effective in Europe. Full remote available. WHAT YOU WILL FIND AT SHOPFULLY 🤗 🌎 An opportunity to thrive in a rapidly scaling multinational company 🕶️ A vibrant, informal, and inclusive work environment 🧠 We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work 📚 Access to learning opportunities and regular feedback sessions 🍓 Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups 🎉 Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks 💻We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are 🧰 Benefit from additional country-specific advantages based on local contracts and practices WHO WE ARE 💜 We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us. TO FEEL AT HOME 🛋️ IN SHOPFULLY YOU NEED 🎯 - Progress Over Perfection: We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results. - Clarity Through Transparency: We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better. - Learn Loudly: We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition. - Challenge with Empathy: We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust. Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset. If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found here. * Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.

Axonlab is a pan-European In vitro Diagnostics and medical IT company with activities in Applied Science. As consultants, investors, distributors, and personalized full-service providers, Axonlab respects the culture of each country by actively developing country-specific customer-related solutions. Headquartered in Baden-Dättwil, Switzerland, subsidiaries in 9 other countries such as Germany, Austria, Belgium, the Netherlands, Poland, Croatia, Czech Republic, Slovakia and Slovenia. Axonlab was founded 1990 and has since then grown into a company with more than 450 employees European-wide. As a business unit within Axonlab, we develop highly innovative solutions for our employees and our customers (hospitals, medical practices, laboratories, and research centers) — always with the aim of offering the most efficient, effective, and innovative solutions. Requirements: - 5+ years of experience in AI/ML engineering with proven delivery of production-grade systems. - Strong hands-on experience building and deploying ML systems in real environments. - Deep understanding of ML algorithms, NLP and/or computer vision models. - Strong Python skills and proficiency with major ML frameworks (TensorFlow, PyTorch, Scikit-learn). - Experience designing scalable, maintainable ML architectures. - Strong problem-solving and decomposition skills. - Experience working in fast-paced, multi-project environments. - Ability to take ownership and deliver independently. - Strong communication skills and fluent English. Responsibilities: - Design, develop, and deploy scalable AI/ML solutions for real-world healthcare and operational use cases. - Own end-to-end ML pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. - Develop and optimize automation systems (e.g., intelligent customer email order processing). - Build and improve conversational AI and voice agents for sales and support teams. - Contribute to computer vision initiatives, including automation projects in logistics. - Translate complex business requirements into well-structured technical solutions. - Ensure performance, scalability, monitoring, and reliability of models in production. - Collaborate cross-functionally with product, business, and engineering stakeholders. - Contribute to technical discussions, innovation sessions, and continuous improvement initiatives. What we offer: - Comfortable environment, challenging tasks and a long-term interesting project; - Covered 20 days of vacation; - Working with top notch equipment; - Bookkeeping by a professional accountant; - Help and support from our caring HR-team;

Axonlab is a pan-European In vitro Diagnostics and medical IT company with activities in Applied Science. As consultants, investors, distributors, and personalized full-service providers, Axonlab respects the culture of each country by actively developing country-specific customer-related solutions. Headquartered in Baden-Dättwil, Switzerland, subsidiaries in 9 other countries such as Germany, Austria, Belgium, the Netherlands, Poland, Croatia, Czech Republic, Slovakia and Slovenia. Axonlab was founded 1990 and has since then grown into a company with more than 450 employees European-wide. As a business unit within Axonlab, we develop highly innovative solutions for our employees and our customers (hospitals, medical practices, laboratories, and research centers) — always with the aim of offering the most efficient, effective, and innovative solutions. Requirements: - 5+ years of experience in AI/ML engineering with proven delivery of production-grade systems. - Strong hands-on experience building and deploying ML systems in real environments. - Deep understanding of ML algorithms, NLP and/or computer vision models. - Strong Python skills and proficiency with major ML frameworks (TensorFlow, PyTorch, Scikit-learn). - Experience designing scalable, maintainable ML architectures. - Strong problem-solving and decomposition skills. - Experience working in fast-paced, multi-project environments. - Ability to take ownership and deliver independently. - Strong communication skills and fluent English. Responsibilities: - Design, develop, and deploy scalable AI/ML solutions for real-world healthcare and operational use cases. - Own end-to-end ML pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. - Develop and optimize automation systems (e.g., intelligent customer email order processing). - Build and improve conversational AI and voice agents for sales and support teams. - Contribute to computer vision initiatives, including automation projects in logistics. - Translate complex business requirements into well-structured technical solutions. - Ensure performance, scalability, monitoring, and reliability of models in production. - Collaborate cross-functionally with product, business, and engineering stakeholders. - Contribute to technical discussions, innovation sessions, and continuous improvement initiatives. What we offer: - Comfortable environment, challenging tasks and a long-term interesting project; - Covered 20 days of vacation; - Working with top notch equipment; - Bookkeeping by a professional accountant; - Help and support from our caring HR-team;