Senior AI Platform Engineer – LLMs & Agents

🔥 1 minute ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Neurawork

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

🤖 Artificial Intelligence

Artificial Intelligence

Neurawork is an innovative company dedicated to optimizing neural networks for various applications. Their cutting-edge technology enhances the efficiency and performance of AI models. Neurawork is committed to driving advancements in artificial intelligence.

📋 Description

• Own the agent architecture and core AI platform • Build a production-ready AI agent platform based on PydanticAI, LiteLLM, and Langfuse • Develop RAG pipelines with pgvector at scale, including multi-tenant isolation, index rebuild strategies, hybrid search, and re-ranking • Build a multi-tenant token quota service and tenant-specific evaluation frameworks • Integrate MCP tools as a core part of the architecture • Ensure end-to-end auditability from prompt to output • Make architectural decisions for banking, insurance, and pharmaceutical clients • Document relevant architectural decisions in ADRs • Provide visibility into LLM calls, costs, and latency in Langfuse • Report to Christoph Knöll (Founder/CEO) and work closely with the Head of AI • Describe an LLM or RAG system you have brought into production as part of the application process

🎯 Requirements

• 5+ years of production software engineering experience with Python • Experience with LLMs in production, including tokens, latency, costs, and evaluations • Hands-on experience building and operating RAG systems, including retrieval tuning and re-ranking • Experience using an agent framework such as LangGraph, PydanticAI, or a comparable framework in production • Excellent German and good English skills • Experience sizing pgvector for large-scale data volumes • Foundational knowledge of Kubernetes • Experience with regulatory requirements such as the EU AI Act, DORA, BaFin/MaRisk, or GxP • Experience with LiteLLM, Langfuse, or MCP is a plus but not required • Based in Germany

🏖️ Benefits

• Permanent employment contract • 40 hours per week • 28 days of annual leave • Fully remote, with residence in Germany • Flexible working hours • Team days at the Munich office approximately once a month • Modern technology stack and dedicated time to evaluate new models, frameworks, and retrieval approaches • Conferences and training • Opportunities to represent the company externally as an expert, for example through talks or technical articles