Lead Software Engineer, AI Platform

3 days ago

Singapore PLT Engineering Full time

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. #J-18808-Ljbffr

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