Software Engineer

Responsibilities

• Build 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

Requirements

• 2–5 years of professional software engineering experience
• Strong backend development skills (Python preferred, but not required)
• Experience with large-scale distributed systems and API design
• Hands-on expertise with AWS and cloud-native services
• Comfort working in a fast-paced startup environment with lots of ownership
• Curiosity about LLMs, retrieval, and the future of AI systems
• Based in Abu Dhabi or open to relocating

Preferred Qualifications

• Background in frontend or full stack development
• Familiarity with DevOps practices (CI/CD, infrastructure as code, Kubernetes)
• Experience building RAG workflows, agentic architectures, or LLM-integrated applications

Benefits

• 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
• A deep-work culture that values curiosity, creativity, and learning
• Full relocation package for the whole family including accommodation, insurance, flights, children education and more

About the Company

Tavily is building the infrastructure layer for agentic web interaction at scale. Our API powers Retrieval Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting large language models to high-quality, trustworthy web content, we help developers build agents that are not only intelligent but also informed. Tavily works with some of the most innovative teams in AI, powering solutions from sales assistants to internal knowledge tools. We serve as the missing link between LLMs and the real world.