Full-Time
Front-End Engineer
Tavily
51-200 employees
Search API for LLMs and RAG
Compensation Overview
$100k - $200k/yr
New York, NY, USA
In Person
Hybrid-friendly; offices in New York and Tel Aviv.
 Software Engineering (1) |
|---|
- 2–5 years of professional front-end engineering experience
- Experience building and maintaining applications in Next.js (SSR, API routes, routing patterns)
- Experience integrating authentication systems (Auth0 or similar) and implementing RBAC
- Experience working with production deployment workflows and Git-based environments
- Strong product intuition and attention to detail
- Ability to thrive in a fast-paced startup environment with high ownership
- Based in NYC or open to relocating
- Build and maintain production-grade features using TypeScript, React, and modern hooks-based patterns
- Integrate with RESTful API routes built in Next.js and backend services powered by MongoDB and Snowflake
- Implement secure authentication and authorization flows using Auth0, JWTs, and RBAC patterns (Owner/Admin/Member)
- Develop billing and subscription experiences integrated with Stripe
- Experience working with MongoDB, Snowflake, or analytics-heavy applications
- Familiarity with Stripe billing flows and subscription management
- Experience with cookie consent or compliance tooling (e.g., OneTrust)
- Experience with sanity
Tavily offers a search API for large language models (LLMs) and Retrieval-Augmented Generation (RAG) to access up-to-date, verifiable information from many online sources. The API returns optimized, contextually relevant results that AI agents can use to perform research, answer questions, and reduce confabulations. It differentiates itself by pairing a usage-based commercial API with an open-source project (GPT Researcher) that showcases practical use and builds a developer community. The goal is to become a core tool for AI development by providing reliable external knowledge and scalable, verifiable data access for AI agents and applications.
Company Size
51-200
Company Stage
Acquired
Total Funding
$320M
Headquarters
New York City, New York
Founded
2023
Simplify's Take
What believers are saying
- Nebius acquisition announced February 2026 integrates Tavily into AI cloud platform.
- Snowflake Intelligence launch partnership enables secure external data fusion.
- $25M Series A from Insight Partners fuels 30-person team expansion across cities.
What critics are saying
- Nebius deal fails under EU/US antitrust scrutiny over Yandex ties.
- OpenAI and Perplexity built-in search erodes Tavily API demand within 6 months.
- Cohere and Groq internalize RAG layers, slashing Fortune 500 revenue by 50%.
What makes Tavily unique
- Tavily delivers agentic search API optimized for LLMs and RAG workflows.
- GPT Researcher open-source agent gained 20,000 GitHub stars driving adoption.
- Assaf Elovic's ex-Google AI expertise powers real-time verifiable data retrieval.
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People at Tavily who can refer or advise you
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Hybrid Work Options
Paid Vacation
Growth & Insights and Company News
6 month growth
↓ -7%1 year growth
↓ -9%2 year growth
↑ 1%Auto-Tool AI turns supplier research into quality scorecards in minutes. Mar 3, 2026 Adversarial AI Pipeline Replace manual supplier research with AI-powered auto-tool selection that transforms basic vendor queries into structured quality scorecards - demonstrated turning 'how to evaluate project management suppliers' into summarized reports with step-by-step assessment criteria. Hatz AI's integration of Perplexity, Firecrawl, and Tavily scrapes supplier data, reads documentation, and synthesizes findings that would take procurement teams hours to compile manually. From the source. "You can take what would be a normal Google search with some research and reading articles and clicking around and saving tabs... but you can turn that into something that is more interactive, that's more of a conversation, and with AI can lead to truly actionable steps." - Automated Supplier Quality Scorecard (2 videos: Your First 5 AI Use Cases (AI Navigator Certification) | Hatz AI | Math & Spreadsheet Analysis for Data Insights) Its take. IndustrialEngineer.ai see procurement teams spending 4-6 hours per supplier on qualification research. When auto-tool AI compresses that to 20 minutes while delivering more comprehensive scorecards, the math is simple: a team evaluating 50 suppliers per quarter recovers 200+ hours annually. Key takeaways. * 019 out of 10 users report daily AI use for search/research - redirect this to structured supplier evaluation * 02Auto-tool selection intelligently chooses between Perplexity (summaries), Firecrawl (page scraping), and Tavily (filtered search) based on query type * 03Python code interpreter enables statistical analysis of supplier performance data with higher accuracy than LLMs alone * 04Transforms scattered Google results into actionable supplier assessment criteria and scoring frameworks * 05Secure chat foundation ensures supplier data and evaluation criteria stay confidential Watch the source. Automated Supplier Quality Scorecard (2 videos: Your First 5 AI Use Cases (AI Navigator Certification) | Hatz AI | Math & Spreadsheet Analysis for Data Insights) Video embedded above - watch without leaving the site Extracted and verified via Adversarial AI Pipeline Get the IE.AI weekly brief. Top 3 AI-distilled industrial engineering insights, every Sunday. No fluff. No spam. Unsubscribe anytime with one click.
Nebius plans to buy AI agent search startup Tavily as it expands its neocloud services and software offerings.
Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.
The company’s agentic search layer is set to become the cornerstone of Nebius’s bid to build a full AI platform.
Nebius Group, a cloud computing provider that split from Russian internet company Yandex in 2024, has agreed to acquire Tavily for $275 million. Tavily develops software that enables AI agents to search for current information needed for tasks including coding and financial trading. As part of the deal, Tavily founder and CEO Rotem Weiss and his team will join Nebius. The acquisition strengthens Nebius's position in the AI infrastructure space by adding capabilities that help AI systems access real-time data for decision-making tasks.