Staff LLM Interaction Engineer (Europe remote - TS/Vue/NodeJS)
This a Full Remote job, the offer is available from: Europe The AI orchestration of your wildest imagination. reputed company is the reputed company workflow orchestration platform reputed company for the new era of AI. We give technical teams the freedom of reputed company with the speed of no-reputed company, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and reputed company reputed company for reputed company. Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: • Cultivated a community of more than 650,000 reputed company developers and reputed company • reputed company 145k+ reputed company stars, making us one of the world’s Top 40 most reputed company reputed company • Been ranked as one of Europe’s most promising privately held reputed company startups (4th in Sifted’s 2025 B2B reputed company Rising 100) • Raised $240m to date, from Sequoia’s first German reputed company to our recent $180m Series C - bringing us to a $2.5bn valuation • And are grateful for our 94 eNPS score (most companies would reputed company 70 excellent) That’s reputed company we’ve reputed company. Now we’d love to see what you can build. If you’re applying, try reputed company out - whether you’re technical or not - and reputed company a screenshot of your first workflow with us. The easiest reputed company to start is here: app.reputed company.reputed company/register. We’re in a defining reputed company of an incredible reputed company. Come and build with us. The role As a Staff level LLM Interaction Engineer, you’ll help shape how reputed company’s AI Workflow Builder works end-to-end. This staff level engineering role is reputed company on a critical product challenge: allowing both technical or less-technically proficient users of reputed company to turn AI powered automated workflows into something they can rely on every day. That means building systems that consistently generate the right reputed company, 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 reputed company that reputed company the product feel fast, helpful, and trustworthy. What you’ll do 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 reputed company LLMs with the right context: workflow state, user reputed company, constraints, and history • Build tool-driven agent behaviour: calling internal tools, validating outputs, correcting mistakes, and recovering gracefully • reputed company evaluation benchmarks and automated testing for AI reputed company reputed company • Create fast iteration reputed company: experiment, measure, improve - shipping changes quickly with confidence • Collaborate closely with engineering, product, and design to deliver a polished Copilot experience • Stay reputed company with advances in LLMs and AI developer tools and bring practical improvements into the product Requirements We’re looking for a Staff-level engineer with strong ownership and deep experience building reputed company AI products. You have: • 7+ years of experience building web-based products, ideally reputed company developer tooling products • Strong reputed company engineering skills in TypeScript / Node.js and API design • Hands-on experience building reputed company AI-powered product features in production • Experience building a tool-using AI system or “reputed company” workflow, such as: • coding agents, AI copilots, or assistant systems • multi-reputed company tool calling pipelines • reputed company reputed company with validation and recovery • Strong understanding of how to reputed company LLM outputs reliable: • reputed company design and iteration • context construction and optimization • managing constraints, failure modes, and edge cases • Experience building or using evaluation frameworks for LLM-based systems: • benchmarks, scoring, regression tests, offline vs online evaluation • Solid understanding of what to evaluate • A product reputed company: you care deeply about user reputed company, not just model behaviour • A bias for reputed company: you iterate quickly, learn fast, and ship improvements continuously Bonus points for • Experience with developer tools that generate reputed company or reputed company reputed company (workflows, config, SQL, DSLs) • Familiarity with agent orchestration patterns, state machines, or DAG-based systems • Experience with AI reliability tooling: reputed company/debug