Senior Full Stack Engineer (Agentic Search) - Platform

Description

About Tavily

We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.

We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.

Responsibilities

• We are looking for a Senior Full Stack Engineer to build how developers and AI agents access our agentic web infrastructure. This role is based in our New York office, hybrid with the NYC team.
• Our APIs are used by millions of developers and the AI agents acting on their behalf. The team owns the main API gateway, the customer platform (keys, usage, teams), identity and enterprise SSO , and the public interfaces to our product: the SDKs, CLI, MCP servers and other tools developers and agents use. You'll work closely with product, design and engineers across our R&D.
• In this position, your responsibility will be to:
• Design and ship features end to end, from the interface to the services and data behind it
• Build and improve the API gateway: high traffic, low latency, reliable
• Turn usage, billing and team data into fast, usable interfaces: tables, charts, filters and forms
• Shape the self-serve journey from signup through activation
• Build and operate identity and team access in production: OAuth and OIDC , role-based access, SAML SSO and SCIM , on providers such as Auth0, Okta, WorkOS or Clerk
• Control who gets which features, with feature flags for staged rollouts and entitlements after rollout
• Improve the public interfaces developers and agents use: the SDKs, CLI, MCP servers and docs
• You may be a good fit if you:
• Have 5+ years of full-stack engineering on customer-facing products or high-throughput APIs, in any mix of frontend and backend
• Are 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: caching, async work, queues, retries and rate limiting, including long-running jobs and webhooks
• Have shipped production UI 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
• Are effective in a mature, user-facing system: you have joined a complex codebase, ramped up fast, shipped safely under real traffic, and been on-call for it
• Have strong product and design sense, for interfaces and for APIs
• See your work through from design to production, explain trade-offs clearly to partners, navigate ambiguity, and use AI tools in how you build
• Strong candidates may also:
• 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
• Why Tavily ?
• Full ownership — small team, you own the entire infrastructure, not a slice of it
• Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
• AI-native company — your infra directly powers AI agents used by leading companies in the space.
• Key employee benefits in the US:
• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance : Company-paid short-term, long-term and life insurance coverage.

Conditions

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Base Compensation Range

$147,200 - $224,300 USD