<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><h4>About Tavily </h4> <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> <h4>The Team</h4> <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, and Customer Success. </p> <p>The Enterprise FDE motion focuses on Tavily’s highest-value customers and strategic enterprise opportunities — from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion. </p> <h3><strong><span data-ccp-props="{}">The role</span></strong></h3> <p>This is a full-time, on-site role based in our New York office. </p> <p>As a Forward Deployed Engineer, Enterprise, you’ll work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You’ll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. </p> <p>You’ll be deeply hands-on: building RAG pipelines, agent workflows, evaluation loops, reference architectures, and custom integrations alongside customer teams. You’ll also serve as a critical bridge between the field and our Product and Engineering teams, translating enterprise needs into roadmap signal. </p> <p><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></p> <ul> <li>Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements. </li> <li>Lead technical discovery and solution design during pre-sales and expansion conversations. </li> <li>Scope, build, and deliver proofs of concept that demonstrate clear business and technical value. </li> <li>Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications. </li> <li>Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production. </li> <li>Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value. </li> <li>Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input. </li> <li>Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation. </li> <li>Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews. </li> <li>Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts. </li> </ul> <p><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></p> <ul> <li>5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant. </li> <li>Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development. </li> <li>Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks. </li> <li>Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout. </li> <li>Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems. </li> <li>Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers. </li> <li>High autonomy, strong ownership, and comfort operating in a fast-moving startup environment. </li> <li>Excellent written and ve