Overview
As the Staff Software Engineer, AI Email Applications, you own the engineering layer that turns AI capability into a reliable product. You will shape the architecture across backend services, APIs, and client applications, while leading a small team of senior engineers. This is a hands-on leadership role. You stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales.
This position is 100% Remote.
Responsibilities
- •Own the application engineering strategy and execution across backend, mobile, and desktop.
- •Design reliable systems for AI-powered workflows, including state, orchestration, tool use, retries, fallbacks, and failure handling.
- •Build the APIs and abstractions that connect AI systems to real-world product experiences.
- •Lead a small, senior engineering team and raise the technical bar through design reviews, code reviews, and hands-on mentorship.
- •Make high-impact trade-offs across latency, reliability, cost, security, and user experience.
- •Establish strong production foundations: observability, monitoring, testing, and operational excellence.
- •Partner closely with ML leadership to turn model capabilities into robust, shippable product experiences.
- •Move quickly while keeping the architecture simple, maintainable, and ready to scale.
Outcomes
- •Production systems are observable, monitored, and stable under real-world load.
- •Decisions consistently balance speed, cost, reliability, and user experience.
- •Features across backend, mobile, and desktop work smoothly and reliably.
- •Latency and reliability improve measurably over time.
Qualifications
- •AI experience required.
- •Significant experience leading application or product engineering for complex systems.
- •Strong hands-on background building and shipping backend systems used in production.
- •Experience building AI-powered products or systems that integrate with modern ML/LLM capabilities.
- •Strong technical judgment and the ability to make decisions with incomplete information.
- •Comfortable working across backend and client platforms, with deep expertise in at least one.
- •A strong bias toward ownership, shipping, and learning from real-world usage.
- •High standards for code quality, reliability, and engineering fundamentals.
Benefits
- •Medical insurance
- •Dental and vision coverage
- •Savings plan options
- •Paid time off (PTO)
Additional Notes
Candidates must be willing to take a 60-minute coding assessment.