Polygala AI Systems / Agent Runtime Engineer Location: Singapore / Remote

Impa; Singapore; Remote; SGD 120,000 - 170,000; Full time

Job summary

Polygala is building the cloud for AI agents, focusing on millisecond provisioning, autonomous scaling, and programmatic surfaces for agents. You will work on sandboxed execution and broader infrastructure, tackling isolation, resource control, persistence, and multi-agent execution.

The role emphasizes backend systems, low-level tradeoffs, and security, with expectations to contribute to BoxLite and grow its ecosystem through tools, docs, and examples.

Qualifications

• Strong background in computer science or engineering.
• Production-quality code in Rust/Go/Python/C++ and backend systems thinking.

Responsibilities

• Develop and improve sandboxed execution for AI agents focusing on reliability, performance, and security.
• Contribute to runtime internals and infrastructure layers supporting agent workloads across containers and virtualization concepts.
• Shape developer interactions with the stack via CLI tooling, SDKs, APIs and documentation.
• Contribute to BoxLite open-source project and foster developer ecosystem.

Skills

Rust

Go

Python

C++

Education

Computer Science or Engineering degree

Tools

Docker

OCI

Job description

Location: Singapore / Remote Company: Polygala

About Polygala

We're building the cloud for AI agents. Today's cloud was built for human developers — shaped around consoles, dashboards, and week-long provisioning cycles that assume a person in the loop. We're building the cloud for AI agents: millisecond provisioning, autonomous scaling, and a programmatic surface agents can drive end to end. Polygala is rethinking infrastructure from the ground up for an AI-native world. Our stack includes components like BoxLite — an embeddable runtime for secure agent execution: https://github.com/boxlite-ai/boxlite

What You’ll Do

Runtime & Sandbox (Core)

Build and improve sandboxed execution for AI agents, with a focus on reliability, performance, and security. Work on core problems such as isolation, resource control, persistence, snapshotting, and multi-agent execution.

Systems & Infrastructure

Contribute to runtime internals and the broader infrastructure layer that supports agent workloads. You’ll work across areas like containers, OCI, virtualization concepts, and system efficiency, helping improve overall stability and operational quality.

Shape the way developers interact with the stack through better CLI tooling, SDKs, APIs, and documentation. You’ll help make powerful infrastructure feel simple, understandable, and easy to integrate into real agent products.

Contribute directly to BoxLite and help grow its developer ecosystem. That includes improving the open-source project itself, engaging with builders, and supporting integrations, examples, and community adoption.

Requirements

You have a strong computer science or engineering background and are comfortable writing production-quality code. We’re especially interested in people with solid skills in Rust, Go, Python, or C++, and who can think clearly about backend systems, infrastructure, and low-level technical tradeoffs.

Nice to Have

Experience with Docker, OCI, or container-based workflows is a strong plus. Familiarity with operating systems, virtualization, security boundaries, open-source projects, or infrastructure and agent system design would also be valuable in this role.

What We Care About

We care most about what you’ve actually built, how well you understand systems, and how quickly you learn. Strong resumes are welcome, but demonstrated ability, technical depth, and builder instinct matter much more than credentials alone.

Why Join

You’ll work on core infrastructure for the next generation of AI systems, not just application-layer tooling. This role offers deep exposure to systems problems, meaningful open-source impact, high ownership from day one, and a path toward full-time conversion for the right person.