Backend Engineer, AI Agent Systems

Quick Facts

• Role: Backend Engineer, AI Agent Systems

Description

Build and operate backend services powering an AI agent assistant that handles real tasks, email, and workflows beyond simple chat. Own the backend layer between AI models and users by designing inference pipelines, orchestration, and clear service boundaries, then delivering fast, reliable, observable services via APIs. Optimize end-to-end latency and throughput and support long-running agent workflows with persistent context, external tool use, and multi-step execution.

Responsibilities

• Build and run backend services powering AI features in production

• Design inference pipelines and orchestration layers around AI models

• Develop reliable APIs for mobile and desktop clients

• Optimize latency and throughput (inference, caching, batching, streaming)

• Implement monitoring, logging, alerting, and incident-response processes

• Improve performance and reliability based on production usage

• Support long-running agent workflows, persistent context, external tool usage, and multi-step task execution

• Debug distributed systems and production AI services under heavy load

Requirements

• Strong backend engineering experience in production environments

• Experience building high-throughput, low-latency services

• Strong knowledge of distributed systems, reliability, and production debugging

• Familiarity with AI inference patterns, including LLMs, embeddings, or multimodal models

• Ability to independently structure and deliver complex technical work

• Product-oriented mindset with willingness to ship, observe production behavior, and iterate quickly

• Working English and strong communication skills

Benefits

Opportunity to build fast, reliable, observable production AI services for real user workflows.