Senior AI Engineer — Search & NLP
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Reach the decision-maker — $5About the role
### **About the Role**
We're a VC\-backed (EU \& US investors) AI software company in Berlin building a **Sales Intelligence Platform for the wholesale distribution industry**. Our platform integrates with ERP systems to surface real\-time insights, automate quotes and orders, and power proactive, data\-driven sales decisions for distributors.
We're a small, high\-impact engineering team (11–50 people total) looking for a **Senior AI Engineer focused on Search \& NLP** to own and advance the core AI systems that directly drive revenue for our customers. Visa sponsorship is available.
### **What You'll Do**
* Design and implement **search algorithms and NLP pipelines** to process ERP data, product catalogs, and customer interactions * Build **recommendation systems and AI models** that drive proactive sales automation for wholesale distributors * Optimize **retrieval and ranking systems** for product matching, customer lookup, and intelligent query handling * Collaborate closely with product and data teams to ship features with measurable customer impact * Contribute to the **AI platform architecture**, working with state\-of\-the\-art models and techniques * Own ML systems end\-to\-end: deployment, monitoring, fine\-tuning, and feedback loops
### **What We're Looking For**
**Must\-haves (dealbreakers):**
* Proficient in **Python** for NLP pipelines and APIs, and **SQL** for complex joins and analytics queries — both in production * 3\+ years of experience in software engineering * Hands\-on experience building systems with **LLMs, RAG, vector embeddings, reranking, context management, and offline evaluation** (not prompt\-only usage) * Practical experience with **search \& retrieval systems**: Elasticsearch/OpenSearch \+ vector search (Qdrant, Weaviate, pgvector), including hybrid BM25 \+ semantic search * Proficiency with a **deep learning framework** (PyTorch or TensorFlow) for developing NLP models * Experience building and deploying **scalable NLP APIs and microservices** (REST/gRPC) with Docker/Kubernetes
**Strongly valued:**
* **ML system ownership:** deployed models on cloud platforms (AWS/Databricks), set up training/fine\-tuning pipelines, monitoring, and product\-usage feedback loops * **Document processing \& extraction:** built pipelines for PDFs/emails using OCR (e.g. Tesseract), parsers, and entity extraction mapped to structured schemas or catalogs * **Text\-to\-SQL or semantic parsing:** implemented or maintained natural\-language\-to\-database systems handling real schemas and production data
**Nice to have:**
* Background in B2B SaaS, ERP systems, or wholesale/distribution domains * Strong CS fundamentals; comfort thriving in a fast\-paced, high\-ownership startup environment
### **Location \& Work Arrangement**
* **Location:** Berlin, Germany (on\-site) * **Visa sponsorship:** available
### **Compensation \& Benefits**
Compensation details are not specified for this role. You'll be joining a well\-funded, early\-stage company backed by leading EU and US VCs, with meaningful ownership and high\-impact work in a collaborative, high\-energy Berlin team.
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