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# Head of Applications Engineering (AI Products)

- **Company:** Achieve Group
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Distributed Systems, Desktop Environments, Machine Learning, Systems Architecture, Enterprise Software Applications, Generative AI, Backend, Low Latency
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pecfp7rlym

## About the Role

* Proven experience leading application or product engineering teams
 * Strong hands-on backend engineering background with large-scale production systems
 * Experience building and shipping AI-powered products
 * Deep expertise in distributed systems, APIs, system architecture, and product engineering
 * Ability to make technical decisions under ambiguity
 * Comfortable working across backend, mobile, and desktop environments
 * Strong execution mindset with a passion for shipping high-quality products
 * Low ego, collaborative leadership style, and high technical standards

You'll Be Successful If You Can

 * Deliver reliable, low-latency AI experiences across multiple platforms
 * Improve scalability, performance, observability, and production reliability
 * Build clear engineering ownership and scalable architecture
 * Develop a high-performing engineering team that ships quickly and maintains exceptional quality

Preferred Background

Candidates from companies in:

 * AI Products / Generative AI
 * SaaS / Enterprise Software
 * Consumer Technology / Productivity Platforms

If you've led engineering teams building AI-native products and enjoy solving complex systems challenges at scale, we'd love to hear from you.

## Description

* Build and grow a high-calibre team of senior engineers
 * Define architecture for AI-powered workflows, APIs, and client applications
 * Translate ML capabilities into reliable, production-ready product features
 * Drive technical decisions across scalability, latency, reliability, security, and cost
 * Establish clear ownership across engineering teams and maintain architectural consistency
 * Ensure production excellence through observability, monitoring, retries, fallbacks, privacy, and operational best practices
 * Balance rapid product delivery with long-term engineering quality


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- [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai)
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- [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how)

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