Software Engineer

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.

We’re looking for a Software Engineer to join our core engineering team and help build the infrastructure that powers real-time AI agents. You’ll work across the stack, ship fast, and take ownership of critical systems as we scale.

This is a great role for a generalist who loves building from scratch, thrives in low-process environments, and wants to work on technically ambitious problems.

• Be the expert in building fast, reliable, and scalable systems for real-time LLM workflows

• Design and implement backend infrastructure and API endpoints

• Collaborate closely with product to iterate on features quickly and thoughtfully

• 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

• 2–5 years of professional software engineering experience

• Strong backend development skills (Python preferred, but not required)

• 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

• Curiosity about LLMs, retrieval and the future of AI systems, with a drive to stay at the forefront of new technology

• Based in NYC or open to relocating

• Background in frontend or full stack development

• Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and modern monitoring tools

• Experience building retrieval-augmented generation (RAG) workflows, agentic AI architectures, or LLM-integrated applications

Full-time employees at Tavily enjoy:

🤝 A young, open, and inclusive culture where everyone has real impact from day one

🧠 The chance to build alongside a fast-moving team at the forefront of agentic AI

🍽 Daily team lunches + fully stocked snacks to keep you energized

🦷 Full medical, dental, and vision insurance to keep you feeling your best

🌱 A deep-work culture that values curiosity, creativity, and continuous learning

🏙 Hybrid-friendly setup with offices in New York and Tel Aviv

🛫 Generous time off to rest, recharge, and explore