Engineering Lead, AI Applications
Bjak
About ActAI
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. Role
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
Requirements
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
Nice to Have
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
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. Role
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
Requirements
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
Nice to Have
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
Reference: WJCPA-5429_467053 · Posted 14 Nov 2026, 08:51 AM