Applied AI Engineer

At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions. Our team and culture make us unique — we’re driven by impact and growth, where every one of us strives to learn and excel. Recognised by Sifted’s Rising 100 and LinkedIn's Top Startups , we’re here to help propel your career and together, make Moss a lasting success. We are hiring an Applied AI Engineer to design, build, and deploy AI-powered products that transform how finance teams work. You will work with frontier language models to create intelligent services, agents, and workflows that deliver real customer value. Your Responsibilities Build AI-Powered Products Design, develop, and deploy AI-enabled applications and services using state-of-the-art language models. Build intelligent agents and workflows that automate complex finance processes. Experiment with new AI capabilities and rapidly turn prototypes into production-ready features. Evaluate and Improve AI Systems Develop robust evaluation frameworks to measure quality, reliability, and business impact. Improve model performance through prompt engineering, retrieval-augmented generation (RAG), and other applied AI techniques. Ensure AI systems are accurate, trustworthy, and deliver a high-quality user experience. Design for Trust and Control Build AI systems that are transparent, auditable, and allow users to review and intervene when needed. Incorporate customer data into AI workflows while maintaining security and privacy standards. Collaborate Across Functions Partner closely with product managers, designers, engineers, and finance experts to deliver customer-facing AI solutions. Help shape Moss's AI product strategy and engineering best practices. About You Degree in Computer Science, Mathematics, Engineering, or a related field. Minimum 4 years of professional engineering experience building and shipping production applications. Proven experience working with modern LLMs and AI application development. Strong programming skills in both Python and Java. Experience building backend services and APIs. Hands-on experience with AI agents, RAG systems, prompt engineering, or related applied AI techniques. Ability to balance rapid experimentation with production-quality engineering. Excellent problem-solving and communication skills. Relevant Technologies Candidates should have experience with a subset of the following technologies and be eager to learn others. AI & Machine Learning Frontier LLMs: OpenAI, Anthropic, Gemini, Llama, Mistral, or similar Agent and orchestration frameworks: LangChain, LlamaIndex, Haystack, or similar Retrieval-Augmented Generation (RAG) Prompt engineering and evaluation methodologies Fine-tuning and model adaptation techniques Software Engineering Python and Java REST APIs and backend application development SQL and modern data storage technologies Distributed systems and scalable application design Nice to Have Experience building customer-facing AI products Experience in fintech, finance, or enterprise software Experience with cloud-based AI platforms such as Vertex AI, OpenAI, or Anthropic APIs About Moss Moss is a SaaS scale-up founded in Berlin, with a team of 300+ people from 50+ nationalities in 5 offices across Europe. Our ambition is bold: to power every SMB’s spend across Europe - fully digital, AI-driven, and seamlessly integrated for complete control. To date, over 5000 businesses in Germany, Netherlands and the UK use Moss’ leading spend management product, with modules such as corporate cards , accounts payables , employee cash reimbursements and procurement . Moss has raised a total of €180 million in funding and is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures and A-Star. Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. We’re a place where you can fast track your career - here's what else to expect: Top-of-market compensation package, including equity. Our vibrant offices are at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos. Additional benefits include: 20 days “work from abroad”, 600EUR/GBP Learning & Development Budget, and other local benefits. Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package). By applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Policy .