Full Stack Engineer (AI Focus)

Brandback • Berlin, Germany • 1d ago

At Brandback, we’re on a mission to redefine shopping with AI. Founded by experienced operators and backed by top tier investors and angels from the retail industry, we have gone from strength to strength since launching our product last year.

We are looking for a product-minded Full Stack Engineer focusing on AI to design and build the data infrastructure and pipelines that power our AI systems. You will be responsible for building AI systems, such as agents and agentic workflows. You will build processes, and structures for large-scale datasets from proprietary sources, partnerships, and publicly available data that power our agents. This role offers a unique opportunity to create AI systems that directly impact user experience.

Location: Berlin, Germany, office-first 4 days / week

Type: Full-Time

Experience Level: Mid-Level to Senior-Level

Tasks

What you will be doing

Developing effective and accurate AI agents and deploying them at scale
Designing, building, and maintaining scalable ETL/ELT pipelines to process structured and unstructured data
Developing data models and storage solutions optimized for AI-driven applications
Integrating diverse data sources (proprietary, partner, and public datasets) into a unified data platform
Ensuring data quality, reliability, and governance, implementing best practices for monitoring and validation
Optimizing data workflows for performance and scalability, leveraging GCP, BigQuery, and modern data stack
Exploring how AI can enhance data collection, processing, and sanitation, improving the efficiency of our pipelines

Our tech stack

Python
GCP
Github
Cursor or another AI assistant of your choice

Requirements

Must have

Experience with AI-driven data processing, agents or automation. Showcased by completed projects (can be side-projects)
Experience with deploying and monitoring AI models
Proficiency with Python and SQL and data engineering tools
Proven ability to leverage cloud-native tools (e.g., BigQuery, Cloud Storage, Pub/Sub or equivalents) to build reliable, data-centric systems
Knowledge of data modeling, schema design and experience working with embeddings
Experience handling large-scale data ingestion from varied sources
Strong problem-solving and collaboration skills, working across engineering and AI teams

Nice to have

Experience in an early-stage startup environment.
Familiarity with public data sources, web scraping, and data enrichment techniques

Benefits

Our offer

Impact: Your work will directly shape our product and contribute to our mission to change a the way people shop
Growth: As one of the first 15 FTEs you will work directly with the founders, benefitting from rapid personal growth and potential step changes in your career progression
Culture: An ambitious, creative, and collaborative team environment
Equity: Outsized stock options to share in the company’s success

Updated: 19 hours ago

Job ID: 14630737

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