Forward Deployed Engineer, Ecosystem - Tavily
Builds and maintains AI agent integrations with strategic partners, creates reference implementations and technical content, and drives adoption of Tavily’s search API for agentic applications.
- Compensation
- $112.7K–$183.9K / yr
- Location
- New York, United States
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Solutions engineering
- Posted
Skills
Nice to have
- Experience working with model providers, agent framework teams, developer platforms, AI infrastructure companies, or major technical partners.
- Experience contributing to open-source projects, especially in the LLM, RAG, agent, or developer tools ecosystem.
- Experience building or maintaining SDKs, integrations, plugins, templates, or framework adapters.
- Experience speaking at developer conferences, hosting workshops, publishing technical content, or building developer communities.
- Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems.
- Track record launching partner integrations or developer-facing technical initiatives that drove meaningful adoption.
- Prior experience at a high-growth AI infrastructure, developer tools, or open-source company.
Full 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, Developer Relations, and Customer Success.
The Ecosystem FDE motion focuses on Tavily’s most important technical partners across the agentic AI stack — including model providers, agent frameworks, orchestration platforms, developer tools, ISVs, and emerging AI infrastructure companies.
The role
This is a full-time, on-site role based in our New York office.
As a Forward Deployed Engineer, Ecosystem, you’ll work directly with Tavily’s strategic partners to design, build, and launch solutions that make Tavily a core component of the modern agent stack. You’ll partner with external engineering and product teams to create high-quality integrations, reference implementations, demos, technical content, and joint solutions that help developers and companies build better AI agents.
You’ll be both a builder and a technical partner. You’ll ship code, shape integration strategy, influence product direction, and help Tavily become the default search and web access layer for agentic applications across the AI ecosystem.
Your responsibilities will include:
- Work directly with ecosystem partners, including model providers, agent frameworks, orchestration platforms, AI developer tools, ISVs, and infrastructure companies.
- Design, build, and maintain high-quality integrations that make Tavily easy to adopt across the modern AI and agent stack.
- Create reference implementations, example applications, SDK examples, retrieval pipelines, agent workflows, demos, and technical templates.