Forward Deployed Engineer, Enterprise - Tavily

Details

Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting workloads from data and model training through production deployment. Tavily is building a search engine for AI agents, with an API that connects LLMs to high-quality, trustworthy web content for agentic applications and real-time reasoning.

The Forward Deployed Engineering team works at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success. The Enterprise FDE team focuses on strategic enterprise customers and opportunities, from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion.

This is a full-time, on-site role based in the New York office. The role involves working directly with strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily's API. The engineer will own the technical relationship across the customer lifecycle and help enterprise teams progress from early use-case exploration to scalable agentic applications.

Responsibilities

• Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements.
• Lead technical discovery and solution design during pre-sales and expansion conversations.
• Scope, build, and deliver proofs of concept demonstrating business and technical value.
• Design and implement production-ready integrations using Tavily's API, including Retrieval-Augmented Generation pipelines, agent workflows, internal tools, and industry-specific generative AI applications.
• Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production.
• Monitor customer API usage patterns and recommend improvements to reliability, latency, coverage, and overall value.
• Translate recurring customer needs, blockers, and technical patterns into product and roadmap input.
• Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation.
• Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews.
• Partner with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts.

Requirements

• At least 3 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.
• Strong hands-on engineering ability, particularly with Python, APIs, backend systems, and production software development.
• Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks.
• Experience with enterprise customers, including technical discovery, proofs of concept, solution design, stakeholder management, and production rollout.
• Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems.
• Ability to communicate clearly with technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers.
• High autonomy, strong ownership, and comfort operating in a fast-moving startup environment.
• Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations.
• Based in New York City or willing to relocate.

Additional Qualifications

• Experience with agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI.
• Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems.
• Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management.
• Track record of helping large customers move from proof of concept to production.
• Experience building internal tools, technical playbooks, demos, or reusable customer-facing assets.
• Prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company.

Compensation

• Base compensation range: $179,500–$224,300 USD.
• Actual compensation is determined by job-related factors, including experience, skills, qualifications, hiring level, and geographic location.

Benefits

• Competitive compensation and benefits packages.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.
• International environment and talented teams.
• Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility.
• Nebius is an equal opportunity employer and provides accommodations during the application process when needed.