Backend Engineer, AI Systems

The role

You will own the inference and orchestration layer that powers AI interactions. You will build and operate production systems that turn model capability into fast, stable, observable APIs.

What you will do

• Build and operate backend systems that serve AI-powered features in production.
• Design inference pipelines, orchestration layers, and service boundaries around models.
• Own production concerns: monitoring, logging, alerting, and incident response.
• Optimize latency and throughput across inference, caching, batching, and streaming.

Required qualifications

• Strong backend engineering fundamentals in production environments.
• Experience running high-throughput, low-latency services.
• Familiarity with AI inference patterns (LLMs, embeddings, multimodal).
• Comfortable debugging distributed systems under load.
• Bias toward shipping and learning from production behavior.
• Python
• NodeJs
• Pytorch
• OpenAI / Anthropic / open-source LLMs
• SQL & noSQL
• Kubernetes
• Docker

About the company

Actai aims to build proactive applications for anyone in the world with minimal to no prompting. Their first application is an agent-first mobile communication app.