AI Engineer — Search & NLP
Plato
Seniority
Senior
Model
In-Office
Sector
Salary
€90,000 – €130,000
Contract
Full-Time
About the role
We're looking for a Senior ML/AI Engineer to own language AI at Plato. You'll build the NLP infrastructure that powers multiple product areas: conversational analytics (chat with your data / text-to-SQL), semantic search, document extraction, and AI chat interfaces. This is a broad role combining structured data querying, retrieval systems, and information extraction.
What you'll do
- Build text-to-SQL systems that let users query business data in natural language
- Design and build semantic search infrastructure serving both UI search and agentic AI features
- Develop information extraction pipelines that turn emails, PDFs, and documents into structured, actionable data
- Create AI chat interfaces that combine data queries with document retrieval
- Own retrieval architecture: embedding pipelines, hybrid search, reranking, evaluation
- Build evaluation frameworks and feedback loops that improve systems over time
- Fine-tune models on B2B wholesale domain data where off-the-shelf solutions fall short
- Own architecture decisions — you'll influence the tech stack
What you'll need
- Strong NLP fundamentals — you understand transformers, embeddings, attention mechanisms, not just API calls
- Experience building production systems in at least one of: text-to-SQL, search/retrieval, information extraction, or conversational AI
- Familiarity with LLMs beyond prompting — RAG architectures, context management, grounding, evaluation
- Solid software engineering practices — your code is tested, documented, maintainable
- Building NLP/ML systems in production (not just notebooks)
- Working with LLMs and embedding models beyond basic prompting
- Evaluating and improving system quality systematically
Nice to have
- Experience with text-to-SQL systems, semantic parsing, or natural language interfaces to databases
- Knowledge of retrieval systems (hybrid search, reranking, evaluation metrics)
- Experience fine-tuning models (embeddings, extractors, or similar) on domain data
- Familiarity with OCR, PDF parsing, or document understanding
- Understanding of B2B/wholesale domain or ERP systems
- Multi-lingual NLP experience (German/English)
What they offer
- Modern office in Berlin-Mitte with a collaborative team culture
- Small, elite team where everyone knows everyone
- Direct access to founders and customers — no bureaucracy
- Your work ships fast and impacts the business immediately

