Tavily
AI Infrastructure
ForwardDeployedEngineer,Enterprise
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Forward Deployed Engineer, Enterprise at Tavily. Skills: AI, LLMs, RAG, Agentic applications. Understand customer AI use cases. Understand customer technical architecture”
Industry & Context.
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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