Senior Full-Stack Developer AI Engineer Data Scientist (mwd)

Location: Berlin / Remote (DACH time zone)
Employment Type: Full-time permanent
Start Date: Immediate
Language: Native-level English proficiency (C1-C2 level German a bonus)

ABOUT US

sandan AI is a Berlin-based AI-native startup serving enterprise customers across the DACH region. We are shaping what marketing looks like in an agentic economy and building the platform on which this new generation of marketing workflows runs.

Our ambition is to build software the way software should be built in 2026: agentic iterative and with AI as an integral part of the engineering workflow.

HOW WE WORK

We use code harnesses such as Claude Code and Codex not as gimmicks but as a core part of our development process. Our engineers work daily with agentic coding workflows from architecture sketches and implementation to refactoring and testing.

People joining us either already work productively with these tools or bring the clear motivation to learn and master them quickly and deeply.

Tasks

• Develop and maintain our full-stack applications within the modern JavaScript/TypeScript ecosystem
• Design and implement scalable backend services using and
• Build high-performance frontend solutions with and
• 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 workflows and systematic quality benchmarks
• Apply code harnesses (especially Claude Code and Codex) throughout the daily development process from planning and implementation to code review
• Collaborate closely with the founding team on the product architecture of agentic systems

Requirements

Core Technical Competencies (Engineering)

• Several years of professional experience in full-stack development
• Strong knowledge of TypeScript and JavaScript
• Confident working with and
• Experience with relational databases (PostgreSQL MySQL MS SQL)
• Hands-on experience with container technologies (Docker Kubernetes)
• Familiarity with REST API design and Git workflows

Data Science & Machine Learning

• Solid Python skills including common data/ML stacks (pandas NumPy scikit-learn PyTorch or TensorFlow)
• Experience across the end-to-end 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)
• Hands-on 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 a plus

Code Harnesses

• Experience with Claude Code and/or Codex is highly appreciated otherwise a strong willingness to actively learn and adopt these tools

Personal Qualifications

• Excellent German (C2) and English skills (minimum C1)
• Genuine interest in generative AI and agentic systems
• Builder mentality: you deliver production-grade software not just prototypes
• Analytical mindset: you make data-driven decisions and critically evaluate model behavior

Nice to have

• A defining role in an AI-native startup with a strong 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 remote work options
• Office in Berlin and location in Dubai (DIFC AI Campus)
• A steep learning curve in Agentic AI LLM orchestration and AI-native engineering

Benefits

• A defining role in an AI-native startup with a strong 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 remote work options
• Office in Berlin and location in Dubai (DIFC AI Campus)
• A steep learning curve in Agentic AI LLM orchestration and AI-native engineering

We look forward to receiving your application including your CV and if available a GitHub or portfolio link.

Please also let us know your earliest possible start date.

Bonus: Tell us in two or three sentences about the most recent ML project you worked on and how you currently use Claude Code Codex or comparable tools in your workflow.