AI-Native Engineering Lead (Full Stack)

CORNERSTONE GLOBAL PARTNERS PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Cornerstone Global Partners seeks an AI-Native Engineering Lead in Singapore to guide engineering teams, drive architecture, and deliver enterprise-grade software with AI integration. You will stay hands-on while shaping scalable solutions and mentoring growing teams, ensuring strong collaboration with clients and stakeholders.

You will define technical strategy, promote best practices, and lead delivery through CI/CD, testing, and performance optimization, while fostering a culture of

Qualifications

• 10+ years of hands-on software engineering experience.
• Proven experience leading engineering teams.
• Strong expertise in full-stack development.
• Experience with enterprise client engagements.
• Excellent communication and leadership skills.
• Experience using AI tools in day-to-day development.

Responsibilities

• Own the technical direction and roadmap for software projects.
• Lead architecture design and full-stack solution development.
• Provide hands-on coding support and establish engineering best practices.
• Conduct architecture and code reviews.
• Drive quality with automated testing, CI/CD, monitoring, and observability.
• Engage with clients and stakeholders to translate requirements into technical solutions.
• Coach and grow engineering teams and recruit talent.
• Represent the organization through technical thought leadership.

Skills

Leadership experience

Full-stack development

React.js

AI tooling usage

Enterprise software

Communication skills

Tools

Node.js

Java

Python

Job description

Your Role

As an AI-Native Engineering Lead, you will serve as the technical leader for engineering teams, driving both technical excellence and delivery success.

You will remain actively hands-on while leading the design and development of scalable software solutions. During the early stages of projects, you will independently drive technical implementation before building and mentoring a larger engineering team as the project scales.

Working closely with clients, stakeholders, and engineering teams, you will lead technical decision-making while embedding AI-assisted software development into everyday engineering practices.

Key Responsibilities

Technical Leadership & Delivery

• Own the technical direction and roadmap for software engineering projects.
• Lead architecture design and full-stack solution development.
• Provide hands-on coding support and establish engineering best practices.
• Conduct architecture and code reviews.
• Drive engineering quality through automated testing, CI/CD, monitoring, and observability.
• Ensure project timelines, quality standards, and delivery objectives are achieved.

AI-First Engineering Leadership

• Champion AI-assisted software development across engineering teams.
• Define best practices for AI-assisted coding, testing, documentation, and software delivery.
• Establish standards for:Prompt engineeringContext engineeringAI output validationSecure AI coding practicesAI-generated code review
• Evaluate emerging AI technologies and recommend practical adoption strategies.
• Coach engineering teams on responsible and effective AI usage.

People Leadership

• Lead, mentor, and grow high-performing engineering teams.
• Provide coaching, technical guidance, and career development.
• Manage performance through regular feedback and goal setting.
• Foster a collaborative and innovation-driven engineering culture.
• Participate in recruitment and team expansion.

Client Engagement & Business Growth

• Work closely with clients to understand business requirements and design technical solutions.
• Support pre-sales activities including solution design, technical proposals, estimations, and presentations.
• Contribute reusable frameworks, engineering assets, and best practices to improve delivery efficiency.
• Represent the organisation through technical thought leadership and innovation initiatives.

Requirements

Experience

• 10+ years of hands-on software engineering experience.
• Proven experience leading engineering teams.
• Strong expertise in full-stack development.
• Preferred technology stack: Frontend: React.js
• Backend: Node.js, Java, or Python
• Experience building scalable, secure, and high-performance applications.
• Strong understanding of software architecture and design patterns.
• Experience working directly with enterprise clients and stakeholders.
• Excellent communication and leadership skills.
• Demonstrated experience using AI tools in day-to-day software development.

AI Skills

• Daily hands-on experience with AI coding assistants such as GitHub Copilot, Cursor, Claude Code, or similar tools.
• Strong prompt engineering and context engineering skills.
• Experience implementing AI-assisted software development workflows.
• Ability to review, validate, and improve AI-generated code.
• Experience mentoring teams on effective AI adoption.

Nice to Have

• Experience with emerging technologies such as Digital Identity, Real-time Payments, Blockchain, Smart Contracts, Quantum Computing, or similar.
• Experience with AI/ML platforms and frameworks.
• Cloud experience on AWS, Azure, or Google Cloud Platform.
• Mobile development experience (iOS or Android).
• Relevant AI certifications are advantageous.

What Success Looks Like

• Lead high-performing engineering teams delivering enterprise-grade software.
• Drive technical strategy while remaining hands-on with development.
• Build scalable, secure, and maintainable software solutions.
• Successfully integrate AI into engineering workflows to improve productivity and quality.
• Mentor engineers and foster a culture of continuous learning and innovation.
• Deliver successful outcomes for clients through technical excellence and collaborative leadership.

Cornerstone Global Partners (EA LicenseNumber: 19C9859) is an affirmative equal-opportunity employer and recruitment firm. We evaluate qualified applicants without regard to race, colour,religion, creed,gender, sexual orientation, gender identity, maritalstatus, national origin, age, veteran status, disability, or any otherprotected class.