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
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Design and implement search algorithms and NLP pipelines to process ERP data, product catalogs, and customer interactions
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Build recommendation systems and AI models that drive proactive sales automation for wholesale distributors
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Optimize retrieval and ranking systems for product matching, customer lookup, and intelligent query handling
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Collaborate closely with product and data teams to ship features with measurable customer impact
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Contribute to the AI platform architecture, working with state-of-the-art models and techniques
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Own ML systems end-to-end: deployment, monitoring, fine-tuning, and feedback loops
What We’re Looking For
Must-haves (dealbreakers):
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Proficient in Python for NLP pipelines and APIs, and SQL for complex joins and analytics queries — both in production
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3+ years of experience in software engineering
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Hands-on experience building systems with LLMs, RAG, vector embeddings, reranking, context management, and offline evaluation (not prompt-only usage)
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Practical experience with search & retrieval systems: Elasticsearch/OpenSearch + vector search (Qdrant, Weaviate, pgvector), including hybrid BM25 + semantic search
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Proficiency with a deep learning framework (PyTorch or TensorFlow) for developing NLP models
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Experience building and deploying scalable NLP APIs and microservices (REST/gRPC) with Docker/Kubernetes
Strongly valued:
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ML system ownership: deployed models on cloud platforms (AWS/Databricks), set up training/fine-tuning pipelines, monitoring, and product-usage feedback loops
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Document processing & extraction: built pipelines for PDFs/emails using OCR (e.g. Tesseract), parsers, and entity extraction mapped to structured schemas or catalogs
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Text-to-SQL or semantic parsing: implemented or maintained natural-language-to-database systems handling real schemas and production data
Nice to have:
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Background in B2B SaaS, ERP systems, or wholesale/distribution domains
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Strong CS fundamentals; comfort thriving in a fast-paced, high-ownership startup environment
Location & Work Arrangement
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Location: Berlin, Germany (on-site)
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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.