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Software & Web Automation Engineer

Tavily • United States • 13h ago

Location

All Locations - On Site

Employment Type

Full time

Department

Engineering

Software & Web Automation Engineer

About Tavily

Tavily is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG).

We are backed by leading investors and serve developers and enterprises worldwide. Our team is small, fast-moving, and ambitious — we ship quickly, iterate constantly, and care deeply about impact.

What You’ll Do

Be the expert in designing and scaling Tavily’s core web intelligence systems. You’ll:

Design and operate distributed, high-throughput data acquisition pipelines that power Tavily’s products.
Build and maintain backend services (Node.js / Python) and automation frameworks.
Implement intelligent orchestration and browser fingerprinting / identity simulation techniques so automation behaves adaptively and human-like in dynamic environments.
Drive reliability, performance, observability, and incident response across production systems.
Partner with product/AI teams to wire data workflows into downstream applications and developer experiences.

What We’re Looking For

2–5 years of professional software engineering experience.
Comfortable in a fast-paced startup environment with high ownership.
Solid backend fundamentals in Node.js, Python (FastAPI), SQL, MongoDB (or similar).
Hands-on experience with automation/orchestration tools (e.g., Playwright, Puppeteer, Cheerio) and concurrency at scale.
Working knowledge of browser internals, fingerprinting/identity profiles, and resilient, human-like automation patterns.
Strong coding practices: testing, code review, secure-by-default design, and production-first mindset.

Nice-to-Haves

Familiarity with cloud infra, containerization (Docker), Kubernetes, CI/CD.
Experience integrating AI/ML components or retrieval systems into production pipelines.