Forward Deployed Engineer, Enterprise - Tavily
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.
Our Team
The Forward Deployed Engineering team owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success. 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.
The Role
This is a full-time, on-site role based in our New York office. 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.
Your 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 that demonstrate clear business and technical value.
- Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI 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 increase reliability, latency, coverage, and overall value.
- 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 closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts.
What We Expect
- 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, especially 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 working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout.
- A strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems.
- Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers.
- A high level of 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.
What You Bring
- Based in New York City, or willing to relocate.
- If you have experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI, that would be an added bonus.
- If you have experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems, that would be an added bonus.
- If you have experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management, that would be an added bonus.
- If you have a track record helping large customers move from POC to production, that would be an added bonus.
- If you have experience building internal tools, technical playbooks, demos, or reusable customer-facing assets, that would be an added bonus.
- If you have prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company, that would be an added bonus.
What We Offer
- Competitive compensation packages.
- Flexible and ownership-focused career growth and learning opportunities.
- A collaborative and innovative culture.
- The opportunity to work on impactful AI projects.
- An international environment and talented teams.
Equal Opportunity Statement
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.