Senior AI Engineer - Search NLP

Role overview

Responsibilities

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

Preferred qualifications

• 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

Benefits