Forward Deployed Engineer, Enterprise - Tavily
Core
Design, prototype, and deploy production-grade AI systems (RAG pipelines, agent workflows) for enterprise customers using Tavily's search API.
Role type
Forward Deployed Engineer (Enterprise)
Builds
Production-ready integrations, reference architectures, and reusable enterprise assets for agentic applications.
Domain
AI Infrastructure / Enterprise SaaS / Search API
Deliverable
production ML models | product features
Required skills
Python, backend systems, LLMs, Retrieval-Augmented Generation (RAG), agent architectures, context engineering, API integration, enterprise solution design, technical discovery, POC delivery, stakeholder management, product roadmap translation.
Preferred skills
LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, vector databases (Pinecone, Weaviate, pgvector, Qdrant), enterprise AI use cases in financial/legal/consulting, POC-to-production track record, internal tool building, high-growth AI infrastructure experience.
Technologies
Tavily API, Python, LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, Pinecone, Weaviate, pgvector, Qdrant
Responsibilities
Work directly with enterprise customers to understand AI use cases and deployment requirements; Lead technical discovery and solution design during pre-sales and expansion; Scope, build, and deliver proofs of concept; Design and implement production-ready integrations; Partner with customer engineering and AI teams to move use cases to production; Monitor API usage patterns and recommend improvements; Translate customer needs into product and roadmap input; Create reusable enterprise assets like reference architectures and deployment guides; Represent Tavily in customer architecture reviews and executive conversations.
Seniority
Mid-Senior, hands-on IC