Backend Software Engineer - LLM Framework & Tools (Malaysia)

Grab; Petaling Jaya; On-site; MYR 120,000 - 190,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex

Parental Leave

Birthday Leave

LASA volunteering leave

Grabber Assistance Programme

Job summary

Grab’s Applied AI Team seeks a Software Engineer to join the LLM-Kit framework in our Petaling Jaya, Malaysia office. You will build libraries, scaffolding, and a CLI that shepherds AI services from an empty repo to production, integrating with MCP, Vault, and GrabGPT components.

You will work under the Engineering Manager, collaborating across teams to deliver end-to-end features with robust testing, observability, and secure authentication.

Qualifications

• 2+ years of professional software development experience.
• Proficiency with Python and Golang.
• Hands-on experience with LLMs, LangChain, and LangGraph for conversational AI development.
• Experience with cloud providers (AWS), containerization (Kubernetes), and CI/CD pipelines.
• Knowledge of data structures, algorithms, distributed systems, and multi-threading.
• Advocate for automated testing and concise technical documentation.
• Experience with relational databases such as MySQL or PostgreSQL.

Responsibilities

• Develop Framework Features End-to-End, including libraries and tooling.
• Design clean, composable abstractions over LangChain, LangGraph, FastAPI, and MCP adapters.
• Build well-architected Python libraries and CLIs with packaging and versioning discipline.
• Implement quality and governance layers with observability, vault secret injection, and authentication.
• Ensure framework reliability, participate in on-call, triage issues, and perform post-mortems.

Skills

Software development

Automated testing

Technical documentation

Tools

Python

Golang

LangChain

LangGraph

AWS

Kubernetes

CI/CD

MySQL

PostgreSQL

Job description

Grab’s Applied AI Team seeks a Software Engineer to join the LLM-Kit framework in our Petaling Jaya, Malaysia office. You will build libraries, scaffolding, and a CLI that shepherds AI services from an empty repo to production, integrating with MCP, Vault, and GrabGPT components.

You will work under the Engineering Manager, collaborating across teams to deliver end-to-end features with robust testing, observability, and secure authentication.