Senior Full-Stack Developer – AI Engineer, German-speaking

Role Overview

• Develop and maintain our full‑stack applications within a modern JavaScript/TypeScript ecosystem
• Design and implement scalable backend services with Node.js and Nest.js
• Implement high‑performance frontend solutions using React.js and Next.js
• Design and optimize relational databases (PostgreSQL, MySQL, MS SQL)
• Containerize and orchestrate services using Docker and Kubernetes
• Develop and integrate REST APIs
• Build and operate data pipelines, feature stores and ML workflows for our agentic systems
• Develop, train and evaluate machine learning models for marketing use cases (attribution, targeting, forecasting, anomaly detection)
• Implement retrieval‑augmented generation (RAG) pipelines (embeddings, vector stores, re‑ranking)
• Set up and maintain LLM evaluation frameworks, prompt optimization and systematic quality benchmarks
• Apply code harnesses (notably Claude Code and Codex) in the daily development process — from planning through implementation to code review
• Collaborate closely with the founding team on the product architecture of agentic systems

Requirements

• Several years of professional experience in full‑stack development
• Strong knowledge of TypeScript and JavaScript
• Confident with React.js, Next.js, Node.js and Nest.js
• Experience with relational databases (PostgreSQL, MySQL, MS SQL)
• Practical experience with container technologies (Docker, Kubernetes)
• Familiarity with REST API design and Git workflows
• Solid Python skills including the common data/ML stack (pandas, NumPy, scikit‑learn, PyTorch or TensorFlow)
• Experience across the end‑to‑end ML model lifecycle: data preparation, feature engineering, training, validation, deployment, monitoring
• Understanding of statistical fundamentals (hypothesis testing, regression, classification, time series)
• Experience with modern LLM workflows: prompt engineering, RAG, embeddings, vector databases (e.g., Pinecone, Weaviate, pgvector)
• Practical experience in model evaluation: metrics, benchmarks, A/B testing, systematic evaluation frameworks
• Familiarity with MLOps tools (e.g., MLflow, Weights & Biases, DVC) is a plus
• Experience with Claude Code and/or Codex is highly welcome — otherwise a clear willingness to actively learn them
• Excellent German (C2) and English skills (at least C1)
• Genuine interest in generative AI and agentic systems
• Builder mentality: you deliver production software, not just prototypes
• Analytical mindset: you make data‑driven decisions and can critically assess model behavior
• Preferably experience developing custom agents, sub‑agents or specialized coding workflows (e.g., Custom Commands)
• Experience with MCP (Model Context Protocol) and tool‑calling architectures
• Familiarity with agent frameworks (Mastra, LangGraph, Vercel AI SDK)
• Experience with fine‑tuning, LoRA adapters or distillation
• Background in marketing analytics, attribution models or performance marketing data
• Publications, Kaggle achievements or open‑source contributions in the ML/AI space
• Background in B2B SaaS or enterprise software

Tech Stack

• Docker
• JavaScript
• Kubernetes
• MySQL
• Next.js
• Node.js
• Numpy
• Pandas
• Postgres
• Python
• PyTorch
• React
• Scikit-Learn
• SQL
• Tensorflow
• TypeScript

Benefits

• Competitive salary and equity program (ESOP)
• Fully funded access to all relevant code harnesses, LLM APIs and developer tools (Claude Max, Codex, GitHub Copilot, etc.)
• Compute budget for experiments, model training and ML workloads
• Modern hardware setup (MacBook Pro of your choice)
• Flexible working hours and remote options
• Office in Berlin and a location in Dubai (DIFC AI Campus)
• Steep learning curve in agentic AI, LLM orchestration and AI‑native engineering