Senior Full-Stack Developer AI Engineer Data Scientist M W D
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Key skills for this role
About the Role
TALENTMATE is seeking a Senior Full-Stack Developer, AI Engineer, and Data Scientist for sandan AI, a Berlin-based AI-native startup. The role involves full-stack development, machine learning, and AI engineering with a focus on agentic systems and marketing workflows.
Key Skills for This Role
Responsibilities
- Develop and maintain 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 agentic systems
- Develop, train, and evaluate machine learning models for marketing use cases
- Implement Retrieval Augmented Generation (RAG) pipelines
- Set up and maintain LLM evaluation frameworks, prompt optimization workflows, and systematic quality benchmarks
- Apply code harnesses (Claude Code and Codex) throughout the daily development process
- 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
- Experience with React.js, Next.js, Node.js, and Nest.js
- Experience with relational databases (PostgreSQL, MySQL, MS SQL)
- Hands on experience with Docker and Kubernetes
- Solid Python skills including pandas, NumPy, scikit learn, PyTorch, or TensorFlow
- Experience across the end to end lifecycle of ML models
- Experience with modern LLM workflows: prompt engineering, RAG, embeddings, vector databases
- Excellent German (C2) and English skills (minimum C1)
Full Job Posting
Job Description
- 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 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
Core Technical Competencies (Engineering)
- 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
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
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
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