Engineering Lead, AI Applications
Company shown to members 🔒 · Remote · Singapore, Indonesia, China only
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 8+ years required
- Where you can live
- Singapore, Indonesia, China only
- Job type
- Full-time
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Job details
- Where you can work
- Singapore, Indonesia, China
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- 8+ years required
- Employer publication date
- 10 November 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
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
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