Engineering Lead

Maxify AI; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Maxify AI is recruiting an Engineering Lead to build and scale AI-native workflows in Singapore. You will own the technical architecture, guide the engineering roadmap, and ship production AI-powered products. This on-site role demands hands-on leadership with a track record of delivering reliable, secure systems.

You will mentor engineers, drive CI/CD and observability, and work closely with the founder on strategy. Candidates with cloud, distributed systems, and MLOps experience fit best.

Qualifications

• Built and operated complex software systems in production.
• Technically deep and an active builder.
• Experience designing scalable systems on AWS, GCP, or Azure.
• Built robust testing, deployment, monitoring, and CI/CD pipelines.
• Led engineers through architecture, delivery, feedback, and growth.

Responsibilities

• Own Maxify’s technical architecture and engineering roadmap.
• Build AI-agent systems spanning orchestration, memory, tools, permissions, evaluations, observability, and human oversight.
• Lead the design, implementation, testing, deployment, and operation of AI-powered products.
• Write and review production code with the team.
• Lead technical discussions, architectural decisions, and code reviews.
• Recruit, mentor, and develop an exceptional engineering team.
• Collaborate with founder on product direction and long-term technical strategy.

Skills

Python

Java

TypeScript

Cloud architecture

CI/CD

Monitoring

Testing

Systems design

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS

GCP

Azure

Job description

Build the operating system for AI-native companies

Most AI products wait for a prompt. Maxify is building something more ambitious: AI colleagues that understand how a business operates, execute real workflows, make decisions within clear boundaries, and take responsibility for outcomes.

Our products and services are already seeing strong customer demand. We have assembled an ambitious, AI-native team, and we are now looking for an Engineering Lead to turn that momentum into a scalable, trusted, category-defining product.

This is a hands-on leadership role based on-site in Singapore. You will architect, build, review, and ship production software—not manage engineering from a distance.

What you will own

• Own Maxify’s technical architecture and engineering roadmap.
• Build reliable AI-agent systems spanning orchestration, memory, tools, permissions, evaluations, observability, and human oversight.
• Lead the design, implementation, testing, deployment, and operation of AI-powered products.
• Write and review production code alongside the engineering team.
• Lead technical discussions, architectural decisions, and code reviews.
• Establish a high bar for security, reliability, code quality, CI/CD, and development speed.
• Partner with product, data, and design to turn business needs into dependable customer experiences.
• Set engineering priorities and resolve critical technical risks and dependencies.
• Recruit, mentor, and develop an exceptional engineering team.
• Work directly with the founder on product direction and long-term technical strategy.

What success looks like

Within your first few months:

• Maxify becomes more scalable, capable, and trustworthy as customer adoption grows.
• The team ships faster without accumulating unnecessary complexity.
• Critical systems have clear ownership, measurable performance, effective safeguards, and reliable recovery paths.
• AI agents take responsibility for increasingly important business workflows while remaining observable and controllable.
• Your technical decisions create leverage for every future product, customer, and team member.

You may be a strong fit if you

• Have built and operated complex software systems in production.
• Are technically deep and remain an active builder.
• Are highly proficient in Python, Java, TypeScript, or comparable modern languages.
• Have designed scalable systems using AWS, GCP, or Azure.
• Have built robust testing, deployment, monitoring, and CI/CD systems.
• Have led engineers through architecture, delivery, feedback, and professional development.
• Can move comfortably between coding, debugging, product judgment, architecture, and team leadership.
• Understand that production AI requires much more than model calls and polished demonstrations.
• Make pragmatic trade-offs, communicate clearly, and challenge weak assumptions.
• Move with urgency while caring deeply about reliability.
• Want meaningful ownership rather than a narrowly defined job.

Experience with LLM applications, agent systems, distributed systems, data pipelines, MLOps, developer platforms, workflow infrastructure, or high-growth companies is valuable.

A degree in Computer Science, Engineering, or a related discipline is welcome but not required. What you have built—and the judgment, ownership, and learning behind it—matters more than credentials.

Why Maxify

• Join early enough to shape the technical foundations, with genuine customer demand already established.
• Build AI systems that perform meaningful business work—not prototypes that end at a chat interface.
• Work directly with the founder and influence both product direction and company strategy.
• Join an ambitious, AI-native team that values speed, ownership, clear thinking, and exceptional execution.
• Help define how the best-run companies combine human judgment with an accountable AI workforce.
• Take on a role where your work can shape an entirely new category.

Location

This is a full-time, on-site position in Singapore. Candidates must be able to work from our Singapore office.