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.

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.