About this role
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.
The Role: Software Engineer
We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.
This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.
What You’ll Do
Design and build high-performance distributed systems
Design and implement backend infrastructure and API endpoints
Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
Improve performance, monitoring, and reliability across the stack
Own core systems and contribute to key architectural decisions
Help shape a strong engineering culture focused on velocity and quality
What You Bring
5 years of professional software engineering experience
Strong backend development skills
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
Hands-on expertise with AWS infrastructure and cloud-native services, bringing practical knowledge of deploying and managing services in real-world environments
Comfortable in a fast-paced startup environment with lots of ownership
Strong sense of ownership and accountability over outcomes
Curiosity about LLMs, retrieval and the future of AI systems, with a drive to stay at the forefront of new technology
Based in Tel-Aviv or open to relocating
Nice To Have
Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and modern monitoring tools