Brandback

Germany

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 Software Engineer who will build production AI systems that directly power our product. You'll develop AI agents that search, analyze, and take actions across the web, build intelligent pricing systems, and create LLM-powered applications at scale. This is a hands-on engineering role where you'll ship working systems, not just models or pipelines. As an early team member, you'll have significant autonomy and impact, working directly with founders to shape our AI strategy.

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

**Type:** Full-Time

**Experience Level:** Mid-Level to Senior-Level

## Tasks

**What you will be doing**

*   Building AI agents and agentic workflows that search, evaluate, and purchase products across multiple platforms
*   Developing LLM-powered systems for directed search and content analysis at scale
*   Creating web scrapers and automation tools that intelligently combine data from multiple sources
*   Implementing embedding systems (text/image) for search, analytics, and market intelligence
*   Building ML-powered pricing engines that work with unstructured data
*   Shipping production systems end-to-end, from data collection through API deployment
*   Designing data and vector layers to support multiple existing and planned use-cases

**Our tech stack**

*   Python, TypeScript
*   GCP
*   Github
*   Cursor or another AI assistant of your choice

## Requirements

**Must have**

*   Proven experience building production AI/ML systems (show us what you've built!)
*   Strong Python and/or TypeScript engineering skills with experience in web automation
*   Hands-on experience with LLMs in production (prompt engineering, agent frameworks, RAG systems)
*   Experience with embedding models and vector databases
*   Track record of shipping end-to-end systems, not just models
*   Comfortable with scraping, APIs, and handling messy real-world data
*   Strong problem-solving and collaboration skills
*   Passion for AI and its practical applications

**Nice to have**

*   Experience in an early-stage startup environment
*   Hands-on computer vision experience
*   Experience with real-time data processing and monitoring
*   Experience with prompt optimization and LLM evaluation at scale

## Benefits

**Our offer**

*   Impact: Your work will directly shape our product and contribute to our mission to change 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

Employee

Professional / Experienced

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 Software Engineer who will build production AI systems that directly power our product. You&#39;ll develop AI agents that search, analyze, and take actions across the web, build intelligent pricing systems, and create LLM-powered applications at scale. This is a hands-on engineering role where you&#39;ll ship working systems, not just models or pipelines. As an early team member, you&#39;ll have significant autonomy and impact, working directly with founders to shape our AI strategy.
Location: Berlin, Germany, office-first 4 days / week
Type: Full-Time
Experience Level: Mid-Level to Senior-Level
<h2 id="tasks">Tasks</h2>
What you will be doing
<ul>
<li>Building AI agents and agentic workflows that search, evaluate, and purchase products across multiple platforms</li>
<li>Developing LLM-powered systems for directed search and content analysis at scale</li>
<li>Creating web scrapers and automation tools that intelligently combine data from multiple sources</li>
<li>Implementing embedding systems (text/image) for search, analytics, and market intelligence</li>
<li>Building ML-powered pricing engines that work with unstructured data</li>
<li>Shipping production systems end-to-end, from data collection through API deployment</li>
<li>Designing data and vector layers to support multiple existing and planned use-cases</li>
</ul>
Our tech stack
<ul>
<li>Python, TypeScript</li>
<li>GCP</li>
<li>Github</li>
<li>Cursor or another AI assistant of your choice</li>
</ul>
<h2 id="requirements">Requirements</h2>
Must have
<ul>
<li>Proven experience building production AI/ML systems (show us what you&#39;ve built!)</li>
<li>Strong Python and/or TypeScript engineering skills with experience in web automation</li>
<li>Hands-on experience with LLMs in production (prompt engineering, agent frameworks, RAG systems)</li>
<li>Experience with embedding models and vector databases</li>
<li>Track record of shipping end-to-end systems, not just models</li>
<li>Comfortable with scraping, APIs, and handling messy real-world data</li>
<li>Strong problem-solving and collaboration skills</li>
<li>Passion for AI and its practical applications</li>
</ul>
Nice to have
<ul>
<li>Experience in an early-stage startup environment</li>
<li>Hands-on computer vision experience</li>
<li>Experience with real-time data processing and monitoring</li>
<li>Experience with prompt optimization and LLM evaluation at scale</li>
</ul>
<h2 id="benefits">Benefits</h2>
Our offer
<ul>
<li>Impact: Your work will directly shape our product and contribute to our mission to change the way people shop</li>
<li>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</li>
<li>Culture: An ambitious, creative, and collaborative team environment</li>
<li>Equity: Outsized stock options to share in the company’s success</li>
</ul>

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