AI Amplify Engineer

The Metabit Amplify Team is an elite squad dedicated to building AI-native engineering infrastructure. We design and implement end-to-end AI coding agent systems that multiply every engineer's productivity by 3-5x.

We don't write trading strategies—we build tools and systems that multiply strategy engineers' efficiency. We are also firm believers and practitioners of open source:

• Embracing Open Source: We stand on the shoulders of giants, actively adopting and integrating cutting-edge open source technologies to stay in sync with the global AI community.


• Contributing Back: We don't believe in building in isolation. As we refine our systems, we will progressively open source this secure, reliable, and efficient AI-native engineering infrastructure.

Responsibility

• Design and build the company's AI coding agent system, enabling end-to-end automation from human instructions to PR submission


• Build isolated devbox sandbox environments to ensure agents run in secure, isolated environments


• Develop and maintain the agent Skills system and CLI toolset, exposing internal toolchains (data pipelines, task tracking, code search, CI/CD) to AI agents


• Design the agent blueprint system—encoding common task patterns (bug fixes, feature implementation, code migration, test generation) into reusable workflows


• Establish agent performance tracking: dashboards for success rate, CI pass rate, review pass rate, and average completion time


• Collaborate with engineers across the company to collect feedback, iterate on agent capabilities, and promote AI-native workflows


• Explore and evaluate cutting-edge AI tools (Claude Code, Goose, Codex, etc.) to select the optimal tech stack for Metabit


• Build open source ecosystem: open source Agent core and general capability modules, deeply participate in frontier community collaboration

Qualifications

• 3+ years of software engineering experience with solid system design and backend development skills (proficiency in Python/TypeScript/Go)


• Deep understanding and practical experience in AI/LLM application development, familiar with prompt engineering, agent frameworks, and tool use


• Familiar with developer toolchain ecosystem: CI/CD, code search, sandboxing/containerization, CLI tool development


• Excellent communication skills, able to collaborate with engineers from different backgrounds and drive organization-level workflow changes


• Self-driven with high curiosity about cutting-edge AI technologies, able to independently explore and prototype new ideas

Nice to have 

• Experience building internal tool platforms (developer experience / developer productivity)


• Understanding of quantitative trading infrastructure (market data, trading protocols, low-latency systems)


• Contribution experience to open source AI agent projects


• Experience designing or using enterprise-level AI coding agent systems


• Experience with Slack bot / ChatOps development