Backend Engineer, AI (Agent Systems)

Stack

Responsibilities

• ▹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

Requirements

• ▹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

Soft skills

About the company

The company (A1) is building a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting. The product focuses on reliability for long-running workflows, persistent context, and real-world task completion, aiming to cut users' daily task time by roughly 90%. The team is small, high-talent-density, and hands-on, making decisions collectively and moving at rapid speed.