Applied AI Engineer

Meyandy LLC; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Moss is a Berlin-based SaaS scale-up seeking an Applied AI Engineer to design, build, and deploy AI-powered products that transform finance teams. You will work with frontier language models to create intelligent services, agents, and workflows that deliver real customer value.

You will collaborate with product managers, designers, and finance experts to shape Moss's AI product strategy and ensure production-quality engineering with a focus on trust and security.

Qualifikationen

• Degree in Computer Science, Mathematics, Engineering, or a related field.
• Minimum 4 years of professional engineering experience shipping production applications.
• Proven experience with modern LLMs and AI application development.
• Strong programming skills in Python and Java; backend services and APIs; AI agents and RAG techniques.

Aufgaben

• Build AI-powered products using state-of-the-art language models and deploy intelligent agents and workflows.
• Evaluate and improve AI systems with robust evaluation frameworks and prompt engineering techniques.
• Design for trust, transparency, auditable systems, and secure handling of customer data.
• Collaborate with product managers, designers, engineers, and finance experts to deliver customer-facing AI solutions.

Kenntnisse

Python

Java

LLMs

Backend APIs

Prompt engineering

RAG systems

Ausbildung

Degree in Computer Science / Mathematics / Engineering

Tools

LangChain

LlamaIndex

Haystack

OpenAI API

Anthropic API

Gemini API

SQL

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 ProductsDesign, 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 SystemsDevelop 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 ControlBuild 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 FunctionsPartner 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

• 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 ac... Applied AI Engineer - Moss, Berlin.