AI Platform Engineer – Smart AI Automation

SEA; Indonesia; Presencial; IDR 240.000.000 - 360.000.000; Jornada completa

Descripción de la vacante

Shopee's AI Solutions team is building and pioneering the future of AI-driven automation. You will design and develop the Smart platform, covering runtimes, toolchains, memory, orchestration, and observability, while collaborating with tech and non-tech teams to scale real-world AI use cases.

Join a fast-paced, learning-focused culture to advance AI initiatives from internal tooling to large-scale, production-ready deployments across the engineering infra domain.

Formación

• Bachelor's degree in Computer Science, Engineering, or related field.
• 2+ years of software development experience or strong fundamentals.
• Strong Python programming (primary), Golang a plus.
• Solid CS fundamentals: algorithms, data structures, networking, systems, architecture.
• Backend experience designing cloud-ready services with databases, queues, caching, etc.
• Familiarity with modern AI agent frameworks like LangChain/LangGraph, or willingness to learn.

Responsabilidades

• Design and develop the Smart platform and other AI systems, covering agent runtimes, toolchains, memory, orchestration, logging, planning, and sandboxing.
• Collaborate with cross-team stakeholders to land and scale real-world AI use cases.
• Drive internal agent adoption in engineering infra by replacing traditional operations with intelligent agent workflows.
• Improve platform reliability and observability for production readiness.
• Operate infrastructure including vector stores, retrieval systems (RAG), and middleware components.
• Continuously experiment, learn, and bring AI advancements into production.

Conocimientos

Python

Golang

Distributed systems

Cloud-native

Debugging

Educación

Bachelor's degree in CS/engineering

Herramientas

LangChain

LangGraph

Vector databases

RAG

Descripción del empleo

Shopee's AI Solutions team is building and pioneering the future of AI-driven automation. You will design and develop the Smart platform, covering runtimes, toolchains, memory, orchestration, and observability, while collaborating with tech and non-tech teams to scale real-world AI use cases.

Join a fast-paced, learning-focused culture to advance AI initiatives from internal tooling to large-scale, production-ready deployments across the engineering infra domain.