DontApply.Club
Login Register

Senior AI Backend Engineer – LLMs & AI Agents

Tappz Gmbh — Germany · Posted ~1 day ago

Senior Full-time

Skills

Node.js TypeScript Python Nest.js GCP LLMs AI APIs AI agents RAG vector databases prompt engineering system design production deployment Pinecone Weaviate

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A senior backend engineer is sought to build production-grade AI systems powered by large language models. Responsibilities include agent workflows, tool integrations, RAG pipelines, vector search, prompt orchestration, and optimization of latency and cost.

Highlights

Build production AI systems with high ownership, work directly on LLM-powered agents and RAG pipelines, and have strong influence over architecture, performance, and product delivery.

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 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.