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About the Role

Moss is 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Requirements

• 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.

Skills

• 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
• Python
• Java
• REST APIs and backend application development
• SQL and modern data storage technologies
• Distributed systems and scalable application design
• Customer-facing AI products
• Fintech, finance, or enterprise software
• Cloud-based AI platforms such as Vertex AI, OpenAI, or Anthropic APIs

Location

• Europe

Work Type

• Full-time

Experience Level

• Minimum 4 years of professional engineering experience

Education Level

• Degree in Computer Science, Mathematics, Engineering, or a related field.

Salary/Compensations

• Top-of-market compensation package, including equity.

Benefits

• Top-of-market compensation package, including equity.
• Vibrant offices at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos.
• 20 days “work from abroad”
• 600EUR/GBP Learning & Development Budget
• Other local benefits

About the Company

• Moss is the Finance AI platform for Europe's mid-sized businesses, giving companies real-time visibility and full control over their spend.
• By automating card issuing, invoice management and expenses, Moss simplifies financial workflows and frees finance and accounting teams from manual, administrative work.
• Founded in Berlin and used by more than 5,000 businesses including Flink, Schufa, Gusto and Auto1, Moss has raised €200+ million to date and operates in Germany, the Netherlands, the UK and further EU markets.
• Moss is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures, A-Star and Portage.
• We have a team of 300+ people from 50+ nationalities in 5 offices across Europe.
• 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.

Equal Opportunity

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