Backend Engineer, AI (Agent Systems)

There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.

• Strong backend engineering fundamentals in production environments.
• Experience running high-throughput, low-latency services.
• Familiarity with AI inference patterns including LLMs, embeddings, and multimodal.
• Comfortable debugging distributed systems under load.
• Bias toward shipping and learning from production behavior.

• 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 including monitoring, logging, alerting, and incident response.
• Optimize latency and throughput across inference, caching, batching, and streaming.

Outcomes:

• Ensure backend systems run reliably at scale, handling production AI traffic with low latency and high throughput.
• Maintain APIs that are stable, clear, and support seamless integration with frontend and ML systems.
• Quickly detect, diagnose, and resolve production incidents to minimize user impact.
• Drive iterative improvements based on real usage to continuously increase system performance and reliability.