Staff Software Engineer, AI Email App
Bjak · Remote · Singapore ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff level leadership
- AI-native email app
- Backend + Client focus
- Small senior team
- High ownership culture
Join a mission to create proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Staff Software Engineer, you will own the engineering layer that transforms AI capabilities into reliable products, focusing on long-running workflows and persistent context.
You will design systems for state orchestration, failure handling, and tool use while leading a small team of senior engineers. This role demands strong technical judgment to balance latency, cost, and reliability as you scale the platform globally.
What you'll do
- Own engineering strategy and execution across backend, mobile, and desktop platforms
- Design reliable systems for AI workflows including state, orchestration, and retries
- Build APIs and abstractions connecting AI systems to real-world product experiences
- Lead a small senior team through design reviews, code reviews, and mentorship
- Make trade-offs across latency, reliability, cost, security, and user experience
- Establish production foundations such as observability, monitoring, and testing
- Partner with ML leadership to turn model capabilities into shippable features
What you'll need
- Significant experience leading application or product engineering for complex systems
- Strong hands-on background building and shipping backend systems in production
- Experience building AI-powered products or integrating modern ML/LLM capabilities
- Strong technical judgment and ability to decide with incomplete information
- Comfortable working across backend and client platforms with deep expertise in one
- Bias toward ownership, shipping, and learning from real-world usage
- High standards for code quality, reliability, and engineering fundamentals
Hiring process
- Applications evaluated by technical team members
- Three to four interviews conducted via virtual meetings or onsite
- Prompt decision process valuing transparency and efficiency