Engineering Lead, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home - M

Engineering Lead, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home

As the Engineering Lead, AI Email Applications, you own the engineering layer that turns Artificial Intelligence (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.

MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.

Engineering Lead 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 Artificial Intelligence (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 Machine Learning (ML) leadership to turn model capabilities into robust, shippable product experiences.

- Move quickly while keeping the architecture simple, maintainable, and ready to scale.

Engineering Lead 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.

Engineering Lead Qualifications:

- Artificial Intelligence (AI) experience is 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 Machine Learning (ML)/Large Language Model (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 include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

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