Job 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.

Get to Know the Team

You will be embedded in a team at the frontier of AI evaluation. This is a technically novel and high-impact problem, as Grab's AI agents grow in complexity, becoming multi-modal, multi-agent, and multi-turn.

This is a paid internship role. You will report to our Engineering Manager II and based onsite at our office in Petaling Jaya, Selangor.

Get to Know the Role

As an AI Engineer Intern on the Agents Platform team, you will work directly with the Senior AI Engineer to contribute to EvalsHub — Grab's platform for evaluating AI agents and LLM services. This is a hands-on engineering role where you will build features, improve eval infrastructure, and work with real agent traces from teams across Grab.

The Critical Tasks You Will Perform

• Improve features on EvalsHub — the platform used by AI teams across Grab to evaluate their agents and LLM services
• Design and implement evaluation pipelines, including support for multi-turn, multi-agent, and coding agent use cases
• Build and curate golden datasets and configure LLM-as-a-judge evaluators to identify and measure agent failure modes
• Analyze eval results to surface applicable insights for agent builders across Grab
• Collaborate with hero teams (chatbot builders, coding agent teams) to understand their evaluation needs and onboard them to the platform
• Contribute to research on evaluation strategies — e.g., multi-turn evals, model comparison workflows, trace rendering
• Document findings, methodologies, and best practices for the broader community

Qualifications

What Essential Skills You Will Need

The must-haves

• Can start from May 2026 onwards with a minimum duration of 3 months
• Pursuing a degree in Computer Science, Software Engineering, AI/ML, or a related field
• Good programming skills in Python, Go; comfortable reading and writing production-quality code
• Familiarity with LLMs and AI agent concepts (prompting, tool use, agentic loops)
• Curiosity and rigour — you care about measuring things correctly, not just quickly
• Self independent and communicate well on findings

The nice-to-haves

• Prior exposure to evaluation frameworks, benchmarking, or ML experimentation pipelines
• Experience with LLM tracing or observability tools (e.g., LangSmith, OpenTelemetry)
• Familiarity with coding agent frameworks (Claude Code, Codex, or similar)
• Experience with Temporal workflows or distributed task orchestration
• Contributions to open-source AI/ML projects

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.