Lead Software Engineer, AI Platform – AI SRE

GRABTAXI HOLDINGS PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading Southeast Asian technology company in Singapore is seeking a Lead Software Engineer focused on AI SRE to enhance driver partnerships and optimize marketplace efficiency. The ideal candidate has a strong foundation in computer science, experience with AI tools, and at least 5 years in cloud environments. Responsibilities include developing AI agents, leading projects, and mentoring teams while working onsite at our office. Competitive benefits and a supportive work culture are offered.

Benefits

Term Life Insurance

Comprehensive Medical Insurance

Parental and Birthday leave

Grabber Assistance Programme

Flexible work arrangements

Qualifications

• Strong foundation in data structures, algorithms, and multi-threading.
• 5+ years of experience in scalable backend deployment with cloud platforms.
• Proficient in creating concise technical documentation.

Responsibilities

• Lead and execute projects encompassing technical leadership.
• Develop AI SRE agents and chatbots using LLMs.
• Build scalable full-stack solutions and write high-quality code.
• Mentor and inspire engineering and research teams.

Skills

Strong foundation in computer science

Expertise in LLMs, LangChain, LangGraph

Proficient in backend languages (Go, Python)

Experience with modern frontend frameworks (Next.js)

5+ years of cloud platform experience (AWS/Azure)

Advocate for shift-left testing

Strong problem-solving skills

Job description

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

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.

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.

Qualifications

What Essential Skills You Will Need

• Strong foundation in computer science: data structures, algorithms, multi-threading, distributed systems, relational/non-relational databases.
• Expertise in LLMs, LangChain, LangGraph for conversational AI development.
• Proficient in backend languages (e.g., Go, Python, Java) with focus on Go and Python.
• Experience with modern frontend frameworks (e.g., Next.js), SSR concepts (SSR/SSG), and protocols (WebSocket, Streamable HTTP, gRPC).
• 5+ years of cloud platform experience (AWS/Azure) and scalable backend deployment.
• Advocate for shift-left testing with unit, integration, and automated testing.
• Experienced in stakeholder collaboration across teams/regions.
• Strong problem-solving and system design skills for scalability and stability.
• Proficient in creating concise technical documentation for cross-team collaboration.
• Strong ownership mindset with the ability to work independently in fast-paced environments.
• Excellent system design capabilities with high standards for code quality and scalability.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.