Senior AI Engineer — Search & NLP

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.

• 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

Must‑haves (deal breakers):

• 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/Open Search + vector search (Qdrant, Weaviate, pgvector), including hybrid BM25 + semantic search
• Proficiency with a deep learning framework (PyTorch or Tensor Flow) 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: Berlin, Germany (on‑site)
• Visa sponsorship: available

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.