<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p> <p>Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.</p> <p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.</p></div><p><strong>About Tavily</strong></p> <p>We're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI — from startups shaping the ecosystem to enterprises deploying AI at scale.</p> <p><strong>The Team</strong></p> <p>Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, Developer Relations, and Customer Success.</p> <p>The Ecosystem FDE motion focuses on Tavily’s most important technical partners across the agentic AI stack — including model providers, agent frameworks, orchestration platforms, developer tools, ISVs, and emerging AI infrastructure companies.</p> <h4><strong><span data-ccp-props="{}">The role</span></strong></h4> <p>This is a full-time, on-site role based in our New York office.</p> <p>As a Forward Deployed Engineer, Ecosystem, you’ll work directly with Tavily’s strategic partners to design, build, and launch solutions that make Tavily a core component of the modern agent stack. You’ll partner with external engineering and product teams to create high-quality integrations, reference implementations, demos, technical content, and joint solutions that help developers and companies build better AI agents.</p> <p>You’ll be both a builder and a technical partner. You’ll ship code, shape integration strategy, influence product direction, and help Tavily become the default search and web access layer for agentic applications across the AI ecosystem.</p> <h4><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Your responsibilities will include:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></h4> <ul> <li>Work directly with ecosystem partners, including model providers, agent frameworks, orchestration platforms, AI developer tools, ISVs, and infrastructure companies.</li> <li>Design, build, and maintain high-quality integrations that make Tavily easy to adopt across the modern AI and agent stack.</li> <li>Create reference implementations, example applications, SDK examples, retrieval pipelines, agent workflows, demos, and technical templates.</li> <li>Collaborate with partner engineering and product teams on integration design, technical tradeoffs, launch plans, and adoption goals.</li> <li>Support technical partner conversations from early exploration through integration launch, developer adoption, and ongoing iteration.</li> <li>Identify opportunities for Tavily to become embedded in partner products, frameworks, docs, templates, and developer workflows.</li> <li>Translate ecosystem patterns and partner feedback into product and roadmap input for Tavily’s Product and Engineering teams.</li> <li>Partner with Sales, Partnerships, Developer Relations, Product, and Engineering to support strategic launches and joint technical initiatives.</li> <li>Represent Tavily in partner reviews, technical workshops, developer communities, conferences, livestreams, and technical content.</li> <li>Help build scalable ecosystem assets, including integration guides, demo environments, playbooks, docs, tutorials, and reusable examples.</li> </ul> <h4><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">We expect you to have:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></h4> <ul> <li>3+ years of software engineering experience, ideally in a partner-facing, developer-facing, or customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Developer Advocate, Solutions Engineer, Partner Engineer, or Sales Engineer.</li> <li>Strong hands-on engineering ability, especially with Python, APIs, SDKs, backend systems, and developer-facing integrations.</li> <li>Deep interest in the AI ecosystem and strong familiarity with the modern agent stack.</li> <li>Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and AI application frameworks.</li> <li>Experience with at least one major agent or LLM orchestration framework, such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, or similar tools.</li> <li>Strong product intuition and ability to design integrations that are technically sound, easy to use, and valuable for developers.</li> <li>Excellent written and verbal communication skills across engineering, product, partner, and developer audiences