Applied AI Engineer

Moss; Deutschland; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Equity in compensation

Learning & Development Budget

Work from abroad: 20 days

Zusammenfassung

Moss is hiring an Applied AI Engineer in Germany to design, build, and deploy AI-powered products for finance teams. You will work with frontier language models to create intelligent services and workflows that deliver real customer value.

You will design AI-enabled applications, build intelligent agents, and help scale AI capabilities with robust evaluation, prompt engineering, and RAG techniques. Join a fast-growing team focused on impact and security.

Qualifikationen

• Degree in Computer Science, Mathematics, Engineering, or related field.
• Minimum 4 years of professional engineering experience shipping production apps.
• Proven experience with modern LLMs and AI app development.

Aufgaben

• Build AI-powered products using state-of-the-art language models.
• Evaluate and improve AI systems for quality and business impact.
• Design for trust, transparency, and user control.

Kenntnisse

Python

Java

Backend APIs

AI agents

RAG

Prompt engineering

Problem solving

Communication

Ausbildung

Bachelors in CS/Math/Engineering

Tools

LangChain

LlamaIndex

Haystack

Jobbeschreibung

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).

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