Full Stack Engineer, AI systems

ABOUT A1 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. ROLE We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users. FOCUS - 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. IDEAL EXPERIENCES - 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. OUTCOMES - Backend systems run reliably at scale, handling production AI traffic with low latency and high throughput. - APIs are stable, clear, and support seamless integration with frontend and ML systems. - Production incidents are quickly detected, diagnosed, and resolved, minimizing user impact. - Iterative improvements based on real usage continuously increase system performance and reliability. TECH ST