Lead Software Engineer, AI Platform – AI SRE

PLT Engineering; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading tech firm in Singapore is looking for a Lead Software Engineer to focus on Issues and Incident Management as part of the AI SRE team. This role involves shaping the incident management framework and developing advanced AI solutions to enhance user experiences. Candidates should have strong leadership skills and experience in full-stack development, particularly with Python and Go. The position is onsite at the office, providing opportunities for mentorship and innovation in technology.

Qualifications

• Proven experience in a technical leadership role.
• Strong expertise in AI SRE techniques and applications.
• Ability to develop scalable full-stack solutions.

Responsibilities

• Lead and execute technical projects from conception to deployment.
• Develop AI-driven applications to enhance driver experiences.
• Mentor junior engineers and promote a culture of excellence.

Skills

Technical leadership

AI SRE development

Full-stack development

Python

Go

Machine learning

Cross-functional collaboration

Job description

Get to Know the Team

TechOps Development Team (AID) is a group of passionate engineers committed to architecting, crafting, and maintaining innovative internal tooling systems that elevate the very core of our business operations. With unyielding dedication, we create functional applications that not only enhance productivity but also redefine efficiency for Grab employees. Join us in this journey of operational excellence as we pioneer the future of technology, pushing the boundaries of what's possible to shape Grab's success.

Get to Know the Role

As a Lead Software Engineer with our team, you'll be focused on Issues and Incident Management - AI SRE. You will shape the backbone of Grab’s incident management. You will create, implement, and scale innovative solutions leveraging advanced AI and machine learning technologies to enhance driver partner experiences and optimize marketplace efficiency. Join us for an exciting journey in digital innovation.

You will report to the Engineering Manager and work onsite at Grab Office.

This role will be onsite at Grab office.

The Critical Tasks You Will Perform

• Independently Lead and Execute Demonstrate strength as a technical lead by taking full responsibility for projects conception, planning and execution.
• Develop AI SRE agents and chatbots using LLMs, LangChain, and LangGraph to enhance driver experiences and solve real-world challenges.
• Build scalable full-stack solutions, including cloud-based backends and efficient web interfaces.
• Write high-quality code in modern languages (e.g., Python, Go) and frameworks, ensuring scalability and efficiency. Conduct code/design reviews.
• Deploy machine learning pipelines and integrate AI agents with tech infra systems.
• Collaborate with cross-functional teams to implement features and assess business impact. Ensure smooth mobile integration.
• Mentor and Inspire Provide deep technical mentorship, foster platform-thinking, and cultivate a culture of excellence across engineering and research teams.
• Participate in on-call rotations, perform root cause analysis, and contribute to post-mortems.