Backend Engineer, LLM Frameworks & AI Tools
Summary
Software engineer on Grab's Applied AI team building LLM-Kit — Grab's internal framework for building, deploying, and monitoring LLM-powered products. Day to day: libraries, scaffolding, and a CLI (FastAPI templates, ReAct/MCP agents, GrabGPT connectivity, Vault secrets, auth, guardrails, observability), based in Selangor, Malaysia.
Grab's Applied AI Team seeks a Software Engineer to be the technical backbone of LLM-Kit, Grab's framework for building, deploying, and monitoring AI products.
You will build libraries, scaffolding, and a CLI that gives engineers a paved road from empty repo to a production LLM service: pre-configured FastAPI project structure, a default ReAct agent with MCP integration, GrabGPT connectivity, Vault-backed secret management, auth helpers, guardrails, built-in observability, and evaluations wired
