Forward Deployed Engineer, Ecosystem - Tavily

About Nebius: 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. 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. 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. About Tavily 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. The Team 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. The Ecosystem FDE motion focuses on Tavily’s most important technical partners across the agentic AI stac [... source excerpt omitted ...] de, shape integration strategy, influence product direction, and help Tavily become the default search and web access layer for agentic applications across the AI ecosystem. Your responsibilities will include: Work directly with ecosystem partners, including model providers, agent frameworks, orchestration platforms, AI developer tools, ISVs, and infrastructure companies. Design, build, and maintain high-quality integrations that make Tavily easy to adopt across the modern AI and agent stack. Create reference implementations, example applications, SDK examples, retrieval pipelines, agent workflows, demos, and technical templates. Collaborate with partner engineering and product t [... source excerpt omitted ...] onments, playbooks, docs, tutorials, and reusable examples. We expect you to have: 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. Strong hands-on engineering ability, especially with Python, APIs, SDKs, backend systems, and developer-facing integrations. Deep interest in the AI ecosystem and strong familiarity with the modern agent stack. Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and AI application framew