As an Applied AI Researcher at Tavily, you’ll explore and deploy cutting-edge techniques in agentic workflows, web infrastructure, and RAG—transforming ideas into production-ready systems.
This role is ideal for someone passionate about applied research and eager to shape one of the most foundational layers in the agent stack.
What You’ll Do:
Be the expert in the latest research and tooling around LLMs, RAG pipelines, and autonomous agent architectures.
Develop benchmarks and evaluation frameworks.
Productionize research and build end-to-end reliable systems and models.
Contribute to internal research documentation and, when appropriate, public writing or talks.
Stay up to date on relevant academic and open-source developments in the field.
What We’re Looking For:
M.Sc. in Computer Science, Data Science, or a related technical field — or B.Sc. with 3+ years of hands-on experience in AI/ML applications.
Strong understanding of LLMs, embeddings, cross-encoders, vector search, and evaluation techniques.
Experience running experiments and analyzing results with rigor.
Ability to translate ideas into prototypes and iterate quickly.
Familiarity with open-source libraries, models and research environments.
Nice to Have:
PhD in Computer Science, or a related technical field.
Experience in a fast-paced startup.
Paper publications in conferences.
Top Skills
What We Do
Search. Extract. Crawl. The web access stack built for builders, by builders.
Tavily powers the next generation of agents with a suite of tools for real-time Search, structured data Extraction, and fully-rendered Crawling — everything agents need to access and reason over the live web.
Purpose-built for RAG, autonomy, and production-grade agent systems.
