Senior Full-Stack Developer, AI Engineer, Data Scientist

This is a fully remote position, open to applicants in Germany.

📋 Description

• Develop and sustain our full-stack applications within the contemporary JavaScript/TypeScript ecosystem.

• Design and implement scalable backend services utilizing Node.js and Nest.js.

• Create high-performance frontend solutions with React.js and Next.js.

• Design and optimize relational databases such as PostgreSQL, MySQL, and MS SQL.

• Containerize and orchestrate services using Docker and Kubernetes.

• Develop and integrate REST APIs.

• Construct and manage data pipelines, feature stores, and ML workflows for our agentic systems.

• Develop, train, and evaluate machine learning models for marketing applications (attribution, targeting, forecasting, anomaly detection).

• Implement Retrieval-Augmented Generation (RAG) pipelines, including embeddings, vector stores, and re-ranking.

• Establish and maintain LLM evaluation frameworks, prompt optimization workflows, and systematic quality benchmarks.

• Utilize code harnesses (notably Claude Code and Codex) throughout the daily development lifecycle—from planning and 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 proficiency in TypeScript and JavaScript.

• Confident in working with React.js, Next.js, Node.js, and Nest.js.

• Experience with relational databases such as PostgreSQL, MySQL, and MS SQL.

• Practical experience with container technologies like Docker and Kubernetes.

• Familiarity with REST API design and Git workflows.

• Solid Python skills, including common data/ML stacks (pandas, NumPy, scikit-learn, PyTorch, or TensorFlow).

• Experience across the entire lifecycle of ML models: data preparation, feature engineering, training, validation, deployment, and monitoring.

• Strong 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, and systematic evaluation frameworks.

• Experience with notebook-based exploration environments (Jupyter, Colab) and transitioning them into production-ready pipelines.

• Familiarity with MLOps tools (e.g. MLflow, Weights & Biases, DVC) is advantageous.

• Experience with Claude Code and/or Codex is highly valued; alternatively, a strong willingness to actively learn and adopt these tools is required.

• Excellent proficiency in German (C2) and English (minimum C1).

• Genuine interest in generative AI and agentic systems.

• Builder mentality: you deliver production-grade software instead of merely prototypes.

• Analytical mindset: you make data-driven decisions and critically assess model behavior.

🏝️ Benefits

• A pivotal role in an AI-native startup with a robust enterprise focus.

• Competitive salary and employee stock ownership plan (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 options for remote work.

• Office located in Berlin and Dubai (DIFC AI Campus).

• A steep learning curve in Agentic AI, LLM orchestration, and AI-native engineering.