Forward Deployed Engineer, Ecosystem - Tavily
Core
Design, build, and launch technical integrations for Tavily's AI search API within the agentic AI ecosystem, serving strategic partners and developers.
Role type
Forward Deployed Engineer, Ecosystem
Builds
High-quality integrations, reference implementations, SDK examples, retrieval pipelines, agent workflows, demos, and technical templates for the modern AI and agent stack.
Domain
AI infrastructure / Agentic AI / Developer Tools
Deliverable
product features
Required skills
Python, APIs, SDKs, backend systems, LLMs, Retrieval-Augmented Generation (RAG), agent architectures, context engineering, AI application frameworks, agent/LLM orchestration frameworks (LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI), product intuition, technical content creation.
Preferred skills
Experience with model providers, agent framework teams, open-source contributions, vector databases (Pinecone, Weaviate, pgvector, Qdrant), speaking at developer conferences, launching partner integrations.
Technologies
Python, LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, Pinecone, Weaviate, pgvector, Qdrant
Responsibilities
Work directly with ecosystem partners to design and build integrations; Create reference implementations, demos, and technical templates; Collaborate with partner engineering teams on integration design and launch plans; Support technical partner conversations from exploration through adoption; Translate ecosystem patterns into product and roadmap input; Partner with Sales, Product, and Engineering on strategic launches; Represent Tavily in technical workshops and developer communities.
Seniority
Mid-Senior, hands-on IC
