Tavily Inc.
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 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.
What You’ll Do
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
What You Bring
2–5 years of professional software engineering experience
Strong backend development skills (Python, Go, C++)
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
Nice To Have
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
✨ Perks & Benefits 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
#J-18808-Ljbffr
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 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.
What You’ll Do
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
What You Bring
2–5 years of professional software engineering experience
Strong backend development skills (Python, Go, C++)
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
Nice To Have
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
✨ Perks & Benefits 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
#J-18808-Ljbffr