Senior AI Engineer — Search & NLP

United States Digital Space LLC; Berlin; Vor Ort; EUR 110.000 - 150.000; Vollzeit

Zusammenfassung

United States Digital Space LLC in Berlin is seeking a Senior AI Engineer focused on Search & NLP to own and advance the core AI systems that directly drive revenue for our wholesale distributors.

You'll design search algorithms and NLP pipelines, build recommender systems, and collaborate with product and data teams to ship features with measurable customer impact. Visa sponsorship is available, and you’ll join a small, high-impact engineering team.

Qualifikationen

• Proficient in Python for NLP pipelines and SQL for analytics in production.
• 3+ years of software engineering experience.
• Hands-on experience with LLMs, RAG, vector embeddings, and offline evaluation.
• Experience with search & retrieval systems (Elasticsearch/OpenSearch + vector search).
• Proficiency with a deep learning framework (PyTorch or TensorFlow) for NLP models.
• Experience building scalable NLP APIs and microservices (REST/gRPC) with Docker/Kubernetes.

Aufgaben

• Design and implement search algorithms and NLP pipelines for ERP data and catalogs.
• Build recommendation systems and AI models for proactive sales automation.
• Optimize retrieval and ranking for product matching and queries.
• Collaborate with product and data teams to ship features with measurable impact.
• Contribute to the AI platform architecture with state-of-the-art models.
• Own ML systems end-to-end including deployment, monitoring, and fine-tuning.

Kenntnisse

Python

SQL

LLMs

RAG

Vector embeddings

Search systems

PyTorch

TensorFlow

Docker/Kubernetes

REST/gRPC

Tools

Elasticsearch/OpenSearch

Qdrant

Weaviate

pgvector

BM25

Docker

Kubernetes

Jobbeschreibung

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.