Tavily

AI Infrastructure

ForwardDeployedEngineer,Enterprise

$170–220k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Forward Deployed Engineer, Enterprise at Tavily. Skills: AI, LLMs, RAG, Agentic applications. Understand customer AI use cases. Understand customer technical architecture”

Industry & Context.

AI Infrastructure
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

3+ years software engineering experience, Customer-facing technical role experience, Hands-on engineering ability, Python experience, API experience, Backend systems experience, Production software development experience, Experience building with LLMs, Retrieval-Augmented Generation experience, Agent architectures experience, Context engineering experience, Modern AI application stacks experience, Experience with enterprise customers, Technical discovery experience, POC experience, Solution design experience, Stakeholder management experience, Production rollout experience, Understanding AI system deployment, Understanding AI system security, Understanding AI system scaling, Communicate with technical stakeholders, Communicate with executive stakeholders, High autonomy, Ownership, Comfort operating in startup environment, Excellent written communication skills, Excellent verbal communication skills, Based in New York City

Nice to Have

Experience with agent orchestration frameworks, Experience with LLM orchestration frameworks, LangChain experience, LlamaIndex experience, LangGraph experience, OpenAI Agents SDK experience, CrewAI experience, Vector databases experience, Pinecone experience, Weaviate experience, pgvector experience, Qdrant experience, Experience with enterprise AI use cases, Financial services AI use cases, Legal AI use cases, Consulting AI use cases, Enterprise SaaS AI use cases, Sales AI use cases, Marketing AI use cases, Internal knowledge management AI use cases, Track record helping customers move POC to production, Experience building internal tools, Experience building technical playbooks, Experience building demos, Experience building reusable customer-facing assets, Prior experience at high-growth AI infrastructure company, Prior experience at developer tools company, Prior experience at enterprise SaaS company

What You'll Do.

Understand customer AI use cases

Understand customer technical architecture

Understand customer success criteria

Understand customer deployment requirements

Lead technical discovery

Scope proofs of concept

Build proofs of concept

Deliver proofs of concept

Design production-ready integrations

Implement production-ready integrations

Build agent workflows

Build industry-specific GenAI applications

Partner with customer engineering teams

Partner with customer data teams

Partner with customer product teams

Partner with customer AI teams

Move use cases from prototype to production

Monitor customer API usage patterns

Recommend improvements for reliability

Recommend improvements for latency

Recommend improvements for coverage

Recommend improvements for value

Translate customer needs into product input

Translate customer blockers into product input

Translate technical patterns into product input

Create reusable enterprise assets

Create reference architectures

Create integration templates

Create deployment guides

Create demo environments

Create technical documentation

Represent Tavily in architecture reviews

Represent Tavily in executive technical conversations

Represent Tavily in implementation check-ins

Represent Tavily in post-deployment reviews

Partner with Customer Success

Partner with Engineering

How You'll Work.

Team & Collaboration

Customer engineering teams; Customer data teams; Customer product teams; Customer AI teams; Sales; Customer Success; Product; Engineering

Communication Scope

Technical documentation; Executive conversations

Full Job Description

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, 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. You’ll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. You’ll be deeply hands-on: building RAG pipelines, agent

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