Design and build LLM-powered backend systems and production AI features. Develop agent workflows and tool integrations, implement RAG pipelines with vector search, handle prompt orchestration and context management, and optimize performance, latency, and cost.
Location: Tunis (Lac 2), Tunisia
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 engineering (Node.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 engineering (Node.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.
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