Backend Engineer
Summary
Build and own core AI agent infrastructure including memory, orchestration, and LLM integration pipelines using TypeScript/Node.js on Kubernetes and AWS at production scale.
• Own and evolve core agent infrastructure: memory, orchestration, and LLM integration pipelines
• Build and scale high-load backend systems in TypeScript/Node.js on Kubernetes + AWS
• Design reliable agent flows that handle real-world edge cases at production scale
• Drive technical decisions on architecture, tooling, and agent system design
• Maintain high engineering standards: testing, observability, and clean ownership
• 4+ years of backend engineering experience with a strong Node.js/TypeScript background
• Hands-on experience with AI agents or LLM-based systems in production — or serious pet projects that show you've gone deep
• Proven high-load production background: you've built systems that scale and stay up
• Experience with Kubernetes and AWS at scale
• Strong ownership mindset — you don't wait to be told what's broken
- Our business is growing at an exponential scale.
- Non-bureaucratic management that focuses on results.
- Regular performance reviews to assess your progress.
- Remote setup with access to our hubs in Dubai, Yerevan, London and Belgrade.
- Compensation for medical expenses.
- Provision of necessary equipment.
- Employees get access to the most advanced AI models via .
- 20 working days of paid vacation annually.
- 11 days off per year.
- 14 days of paid sick leave to support your health and recovery when needed.