Graduate Backend Engineer, Agent Platform & Infra

United States Digital Space LLC

Singapore

On-site

SGD 60,000 - 90,000

Full time

14 days+

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Job summary

Volcano Ark invites graduates to join Volcano Engine's one-stop foundation model and Agent platform. You will help build scalable Agent runtimes, integrate APIs, and contribute to benchmarking and observability. Applicants should include availability and graduation date in their resume as onboarding by year-end is required.

We encourage early applications as reviews are rolling. The team values curiosity and practical impact, with opportunities to advance in a rapidly evolving AI-native

Qualifications

  • Holder of a Bachelor’s or Master’s degree in computing or related discipline.
  • Solid coding skills and system design capabilities.
  • Proficient in at least one of Golang, Python, Rust, or Java, with hands-on AI coding tools experience.
  • Strong understanding of LLMs and Agent architectures, with production Agent systems experience preferred.
  • Familiar with Linux, Docker, Kubernetes, and cloud-native infra; knowledge of distributed systems is a plus.

Responsibilities

  • Develop the core Agent infrastructure for the Volcano Ark platform, designing a scalable runtime and execution engine.
  • Build core platform capabilities: resource models, lifecycle management, and OpenAPIs integration for reliability and scalability.
  • Design and develop the Agent evaluation framework with benchmarks and analytics.
  • Ensure high-concurrency, low-latency services with robust observability and performance optimizations.
  • Stay at the forefront of Agent technologies and drive productization of platform capabilities.

Skills

Golang
Python
Rust
Java
AI-powered coding tools

Education

Bachelor's or Master's in computing or related field

Tools

Docker
Kubernetes
MySQL
Redis
Message queues

Job description

Volcano Ark invites graduates to join Volcano Engine's one-stop foundation model and Agent platform. You will help build scalable Agent runtimes, integrate APIs, and contribute to benchmarking and observability. Applicants should include availability and graduation date in their resume as onboarding by year-end is required.

We encourage early applications as reviews are rolling. The team values curiosity and practical impact, with opportunities to advance in a rapidly evolving AI-native

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