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2 ai engineer jobs found in Frankfurt am Main

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Data Analytics Frankfurt am Main ai engineer
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neoshare
07/10/2026
Full time
Head of AI Engineering (f/m/x)
neoshare Große Gallusstraße 14, 60315 Frankfurt am Main, Germany
Your mission Own and evolve our AI engineering function — transforming a 15–20 person ML team from research-heavy to a high-throughput, production-grade organization. You’ll partner with the CTO on strategy, build the platform that unifies LLM access, RAG, and backend services, and ship reliable, scalable AI features that change how banks work. Key responsibilities Team leadership and org build Hire, mentor, and develop a high-performing team; set the technical bar, operating rhythms, and code/research review practices Organize sub-teams (e.g., Core Modeling, AI Platform/Infra, Integrations) with clear ownership, SLOs, andon-call Manage roadmap, capacity planning, and delivery across parallel initiatives Architecture and platform Own the LLM gateway: unified APIs and proxy layers for multi-provider routing (OpenAI, Gemini, Bedrock), with rate limits, fallbacks, and cost tracking Build high-performance RAG pipelines (ingestion, embeddings, vector...
REPLY
09/10/2026
Full time
AI SOLUTIONS ENGINEER (M/F/D)
REPLY 60314 Frankfurt am Main, Germany
FRANKFURT, HAMBURG, DÜSSELDORF, MUNICH, HYBRID Tasks About our platform Huacaya:   Huacaya is our on-premises platform for AI development and deployment. It enables the secure and efficient hosting, training, and integration of AI models into applications such as chat or process automation. The platform covers the entire AI lifecycle and provides companies with a robust foundation for developing tailored solutions for specific requirements. As part of our team, you will make a significant contribution to the further development of Huacaya and shape innovative AI-based applications within the framework of projects. You will work directly at the interface with customers and actively drive the further development of Huacaya, our   platform for AI development and deployment   , with the goal of quickly bringing solutions into productive use. Your work focuses on   training, fine-tuning, and providing large language models   (LLMs) in a...
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