Applied AI Engineer
- Role
- Fullstack
- Experience
- Mid
- Employment
- Full-time
Open to DE only. Set where you work from to check your eligibility.
No BS summary
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.
Core skills
Required skills
Optional skills
Required languages
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 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 - 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 .
What you'll do
- 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.
- Adapt new AI capabilities and quickly 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.
- Work closely with product managers, designers, engineers, and finance experts to deliver customer-facing AI solutions.
What they require
- 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.
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, and other local benefits.
- Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package).
Moss is the real-time retrieval layer for conversational AI, deployed across browser, edge, on-device, and cloud environments to provide low-latency context for AI products.