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Tavily

Search API for LLMs and RAG

Senior Full Stack Engineer - Agentic Search, Platform

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$147.2k - $224.3k

About the Job

Requirements

  • Have 5+ years of full-stack engineering experience on customer-facing products or high-throughput APIs, in any mix of frontend and backend.
  • Be strong in backend engineering, ideally in Python; Go, C++ or C with some Python experience also fits.
  • Have built and operated latency-sensitive, high-QPS APIs, including caching, asynchronous work, queues, retries, rate limiting, long-running jobs and webhooks.
  • Have shipped production user interfaces with a modern frontend framework such as React, Next.js or TanStack, ideally in TypeScript.
  • Have built data-heavy interfaces such as tables, charts and filters that stay fast.
  • Be effective in a mature, user-facing system, having joined a complex codebase, ramped up quickly, shipped safely under real traffic and been on call for it.
  • Have strong product and design sense for interfaces and APIs.
  • See work through from design to production, explain trade-offs clearly to partners, navigate ambiguity and use AI tools in development.

Responsibilities

  • Design and ship features end to end, from the interface to the services and data behind it.
  • Build and improve a high-traffic, low-latency, reliable API gateway.
  • Turn usage, billing and team data into fast, usable interfaces, including tables, charts, filters and forms.
  • Shape the self-serve journey from signup through activation.
  • Build and operate identity and team access in production, including OAuth and OIDC, role-based access, SAML SSO and SCIM, using providers such as Auth0, Okta, WorkOS or Clerk.
  • Control feature access using feature flags for staged rollouts and entitlements after rollout.
  • Improve public interfaces used by developers and agents, including SDKs, CLI, MCP servers and documentation.

Desired Qualifications

  • Have led a project or mentored others.
  • Have taken a product from 0 to launch.
  • Have built API-key issuance and lifecycle.
  • Have built MCP servers or tools for AI agents.
  • Have worked on billing or usage metering with Stripe, Metronome, Orb or similar.

About the Company

Tavily

Search API for LLMs and RAG

Tavily provides a search API for large language models (LLMs) and Retrieval-Augmented Generation (RAG) to access up-to-date, verifiable information. Its API returns optimized, contextually relevant results from multiple online sources, helping AI agents research and answer questions while reducing hallucinations, and it scales via a usage-based pricing model with a free tier. It stands out by pairing a commercial API with an open-source project (GPT Researcher) to showcase capabilities and build adoption, while prioritizing real-time data over general web search. Its goal is to become a core tool for AI development by delivering reliable external knowledge and scalable, verifiable data access for developers building AI agents and applications.

Company size
51-200
Company stage
Acquired
Total funding
$45M
Headquarters
New York City, New York
Founded
2023

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