Das ist der Job
You’ll shape and deliver scalable LLM systems and agentic workflows that turn ideas into production launches - fast.
Darum lohnt es sich
idealo’s AI Booster Team accelerates the company’s adoption of generative AI technology by partnering with product teams, building reusable AI workflows, and championing best practices across the company. About your new role Collaborate with cross-functional teams to design, prototype, and ship LLM-powered features from ideation to live in weeks.
Develop reusable AI building blocks (e.g., sophisticated RAG pipelines, evaluation frameworks, model adapters) that scale across products and teams. Architect and build advanced LLM workflows and agentic systems - multi-agent orchestration, tool use, and execution flows.
Select and evaluate the right models and inference infrastructure for the task, balancing cost, latency, quality, and safety. Champion automated evaluations, human-in-the-loop checks, and continuous feedback loops to ensure quality, reliability, and cost effectiveness.
Serve as a technical mentor - run office hours, reviews, and workshops to level up GenAI skills across idealo. Skills & Requirements Professional software engineering experience (3 + years) with at least 1+ years hands‑on building LLM-centric systems or related generative AI applications.
Knowledge of LLM workflows, RAG design, embeddings, vector databa
