Job Search and Career Advice Platform

Enable job alerts via email!

Software Engineer

Tavily

Abu Dhabi

On-site

AED 120,000 - 180,000

Full time

30+ days ago

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading technology company in Abu Dhabi is seeking a Software Engineer to join their core engineering team. The ideal candidate will have 2–5 years of experience in software engineering, strong backend development skills, and a passion for building real-time AI systems. You will design and build scalable infrastructure for LLM workflows in a fast-paced environment, with significant ownership over critical systems.

Benefits

Inclusive culture
Full relocation package
Deep-work culture

Qualifications

  • 2–5 years of professional software engineering experience.
  • Strong backend development skills, Python preferred.
  • Experience with large-scale distributed systems and API design.

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.

Skills

Backend development
Distributed systems
AWS
API design
Curiosity about LLMs
Job description
About Tavily

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.

We work with some of the most innovative teams in AI. From startups shaping the ecosystem to enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, Tavily is the missing link between LLMs and the real world.

The Role

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 an ideal role for a technically strong generalist with hands-on experience in building AI agents or complex distributed systems, someone who thrives in low-process environments, understands deep tech, and loves turning ambitious ideas into production-grade systems.

What You'll Do
  • 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
What You Bring
  • 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
Nice To Have
  • 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
Perks & 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...
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.