Engineering Lead, AI Applications

Role overview Lead application engineering across backend, mobile, and desktop platforms for an AI-enabled communication product. You’ll set architecture and technical direction, build dependable services and workflows, and guide a small team of senior engineers. The role connects AI capabilities with product features while maintaining strong performance, security, and production reliability.

Responsibilities - Set application architecture across backend, mobile, and desktop systems. - Design AI-enabled workflows, including orchestration, state management, retries, and recovery from failures. - Build and review backend services, APIs, and integrations that connect AI systems to product capabilities. - Make technical decisions about system design, infrastructure, security, performance, and reliability. - Guide senior engineers through technical design, code reviews, and mentorship. - Partner with machine learning and product teams to ship AI features; improve monitoring, testing, and production operations.

Requirements - At least eight years of software engineering experience, including technical leadership of production applications. - Strong backend expertise in APIs, databases, distributed systems, and cloud infrastructure. - Experience designing and scaling systems across multiple services or application platforms. - Hands-on experience integrating language models or other AI features into production applications. - Ability to make architecture decisions, review code, and solve difficult engineering problems. - Experience leading and mentoring senior engineers, with a strong grasp of performance, concurrency, reliability, and production monitoring.

Nice to have - Experience with AI agents, orchestration systems, or multi-step workflows. - Development experience across web, mobile, and desktop. - Familiarity with messaging, email, collaboration, or productivity products. - Experience leading engineering teams in an early-stage technology company.