The Role
Build and deploy production AI systems using LLMs and AI agents. Responsibilities include backend development, agent workflows, tool integrations, RAG pipelines, vector search, prompt orchestration, context management, and optimization of performance, latency, and cost. The role requires fullstack engineering across Node.js, Next.js, TypeScript, Python, Nest.js, and GCP, plus experience with AI APIs, vector databases, production deployments, and system design.
Summary Generated by Built In
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.
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.
Skills Required
- Strong backend and frontend engineering experience with Node.js, Next.js, TypeScript, Python, Nest.js, and GCP
- Deep experience working with large language models and AI APIs
- Experience building AI agents or multi-step workflows
- Vector database experience, such as Pinecone or Weaviate
- RAG implementation experience
- Prompt engineering and system design experience
- Production deployment experience
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The Company
What We Do
Tappz GmbH is a technology company dedicated to building the next generation of AI-powered and AR applications. By leveraging Artificial Intelligence and Spatial Computing, they aim to create products that empower individuals, drive positive impact, and improve daily life. Their team of strategists, designers, and technologists focuses on crafting exceptional, innovative mobile experiences that reach millions of users worldwide.
