Staff LLM Interaction Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du Systeme zur Verbesserung der Benutzerinteraktion mit AI-gestützten Workflows, optimierst Werkzeuginteraktionen und implementierst Automatisierung, um zuverlässige Ergebnisse zu erzielen. Job Zusammenfassung In dieser Rolle entwickelst du Systeme zur Verbesserung der Benutzerinteraktion mit AI-gestützten Workflows, optimierst Werkzeuginteraktionen und implementierst Automatisierung, um zuverlässige Ergebnisse zu erzielen. Deine Rolle im Team As a Staff level LLM Interaction Engineer, you'll help shape how n8n's AI Workflow Builder works end-to-end. This staff level engineering role is focused on a critical product challenge: allowing both technical or less-technically proficient users of n8n to turn AI powered automated workflows into something they can rely on every day. That means building systems that consistently generate the right output, stay grounded in the user's workflow, and improve quickly through iteration and evaluation. You'll work on the orchestration layer between users, workflows, and LLMs - designing the context, tool interactions, and evaluation loops that make the product feel fast, helpful, and trustworthy. You'll work across the full lifecycle of AI-powered product development: Architect and implement AI-assisted workflow building capabilities (workflow creation, editing, and suggestions) Design systems that provide LLMs with the right context: workflow state, user intent, constraints, and history Build tool-driven agent behaviour: calling internal tools, validating outputs, correcting mistakes, and recovering gracefully Develop evaluation benchmarks and automated testing for AI output quality Create fast iteration loops: experiment, measure, improve - shipping changes quickly with confidence Collaborate closely with engineering, product, and design to deliver a polished Copilot experience Stay current with advances in LLMs and AI developer tools and bring practical improvements into the product Unsere Erwartungen an dich Qualifikationen You have: Strong fullstack engineering skills in TypeScript / Node.js and API design + coding agents, AI copilots, or assistant systems + multi-step tool calling pipelines + structured generation with validation and recovery Strong understanding of how to make LLM outputs reliable: + prompt design and iteration + context construction and optimization + managing constraints, failure modes, and edge cases + benchmarks, scoring, regression tests, offline vs online evaluation + Solid understanding of what to evaluate A product mindset: you care deeply about user outcomes, not just model behaviour A bias for action: you iterate quickly, learn fast, and ship improvements continuously Erfahrung We're looking for a Staff-level engineer with strong ownership and deep experience building real AI products. 7+ years of experience building web-based products, ideally SaaS developer tooling products Hands-on experience building complex AI-powered product features in production Experience building a tool-using AI system or "agentic" workflow, such as: Experience building or using evaluation frameworks for LLM-based systems: Themen mit denen du dich im Job beschäftigst API Design Automation AI Product Development Metadaten Level: Senior Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Full Remote Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: Berlin | Deutschland

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