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