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Senior Full-Stack AI Engineer

Tappz Gmbh — Germany · Posted ~3 hours ago

Senior Onsite

Skills

Node.js Next.js TypeScript Python Nest.js GCP LLMs AI APIs AI agents RAG Vector databases Prompt engineering System design Production deployment Pinecone Weaviate

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Summary ✨ AI‑Generated

Join a fast-moving AI engineering team building production applications powered by large language models and autonomous agents. Design backend systems, agent workflows, tool integrations, RAG pipelines, and vector-search solutions while managing prompts and context. You will optimize latency and cost and take AI features through production, with strong full-stack engineering fundamentals expected.

Highlights

AI-focused senior engineering role with end-to-end ownership of LLM applications and agent systems. Work on RAG, vector search, tool integrations, context management, and production optimization while moving quickly from ideas to real AI features.

Description

Location: Munich Tappz is building AI-native applications powered by large language models. We’re moving fast in a highly competitive space and need an engineer who is fully focused on AI systems and agent development. We’re looking for someone who enjoys high ownership, working hard, and shipping real AI products. Tasks Design and build backend systems powered by LLMs Develop agent workflows and tool integrations Build RAG pipelines with vector search Handle prompt orchestration and context management Optimize performance, latency, and cost Ship AI features into production products Requirements Strong backend and frontend engineering (Node.js, Next.js, Typescript, Python, Nest.js, GCP) Deep experience working with LLMs and AI APIs Experience building AI agents or multi-step workflows Vector DB experience (Pinecone/Weaviate/etc.) RAG implementation experience Prompt engineering and system design Production deployment experience Mindset we value: Ownership, speed, and the willingness to go the extra mile Benefits High ownership in a fast-growing AI startup, remote-friendly setup, and the chance to build agent systems in production. If you want to build AI agents in production with a lot of ownership and impact, apply now.