Senior Full-Stack Developer, AI Engineer, Data Scientist

sandan AI

Developing full-stack applications and models using modern JavaScript frameworks for an AI startup. Collaborating with the founding team on product architecture and agentic systems.

Posted 5/15/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

DockerJavaScriptKubernetesMySQLNext.jsNode.jsNumpyPandasPostgresPythonPyTorchReactScikit-LearnSQLTensorflowTypeScript

About the role

Key responsibilities & impact

Develop and maintain our full-stack applications within the modern JavaScript/TypeScript ecosystem
Design and implement scalable backend services using Node.js and Nest.js
Build high-performance frontend solutions with 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 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

What you’ll need

Several years of professional experience in full-stack development
Strong knowledge of TypeScript and JavaScript
Confident working with React.js, Next.js, Node.js, and Nest.js
Experience with relational databases (PostgreSQL, MySQL, MS SQL)
Hands-on experience with container technologies (Docker, 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 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
Experience with Claude Code and/or Codex is highly appreciated — otherwise, a strong willingness to actively learn and adopt these tools
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

Benefits

Comp & perks

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

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Hard Skills & Tools

JavaScriptTypeScriptReact.jsNext.jsNode.jsNest.jsPostgreSQLMySQLMS SQLPython

Soft Skills

analytical mindsetbuilder mentalitydata-driven decision makingcollaborationcommunication