Engineering Lead, AI Applications

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

• Lead application architecture and engineering across backend, mobile and desktop platforms

• Design systems for AI-powered workflows, including orchestration, state management, retries and failure recovery

• Build and review backend services, APIs and integrations that connect AI systems with product features

• Make technical decisions on system design, performance, reliability, security and infrastructure

• Lead a small team of senior engineers through technical design, code reviews and engineering guidance

• Work with ML and product teams to integrate AI capabilities into production applications

• Improve system performance, monitoring, testing and production reliability

• 8+ years of software engineering experience, including technical leadership of production applications

• Strong backend engineering expertise, including APIs, databases, distributed systems and cloud infrastructure

• Experience designing and scaling systems across multiple services or application platforms

• Hands-on experience integrating LLMs or AI-powered features into production applications

• Ability to make architecture decisions, review code and resolve difficult engineering problems

• Experience leading senior engineers through technical design, code reviews and mentorship

• Strong understanding of system performance, concurrency, reliability and production monitoring

• Experience building AI agents, orchestration systems or multi-step workflows

• Experience developing applications across web, mobile and desktop platforms

• Experience with messaging, email, collaboration or productivity applications

• Experience leading engineering teams in early-stage technology companies