Head of Applications Engineering (AI Products)

Achieve Group

Singapore

On-site

SGD 180,000 - 280,000

Full time

13 hours ago
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Job summary

Achieve Group's client is building a next-generation AI product that helps millions of users complete everyday work through intelligent automation. The role leads application engineering across backend, mobile, and desktop platforms, and builds a high-calibre team of senior engineers.

You will define architecture for AI-powered workflows, APIs, and client apps, translate ML capabilities into production features, and drive decisions on scalability, latency, reliability, security, and cost.

Qualifications

  • 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 and APIs.
  • Ability to make technical decisions under ambiguity.
  • Comfortable working across backend, mobile, and desktop environments.

Responsibilities

  • Lead application engineering across backend, mobile, and desktop platforms.
  • 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.

Skills

Leadership
Backend engineering
Distributed systems
AI products experience

Tools

APIs
Cloud platforms
System architecture

Job description

Our client is building a next-generation AI product that helps millions of users complete everyday work through intelligent automation. Our platform combines large language models, long-running workflows, persistent memory, and real-world task execution to deliver reliable AI experiences at scale.

What You'll Do
  • Lead application engineering across backend, mobile, and desktop platforms
  • 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
What We're Looking For
  • 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.

We regret that only shortlisted candidates will be notified. Thank you for your interest in this opportunity.

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