Full Stack / AI Agent Product Engineer
New
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Pixlr GroupAI Agent Products
Shenzhen, Guangdong Province, China. Wuhan, Hubei, China. Hangzhou, Zhejiang, China. Beijing, Beijing, China. Shanghai, Shanghai, ChinaFull-Time
Salary not disclosed
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Job Details
- Required Skills
- DockerNode.jsPostgreSQLTypeScriptRedisNext.jsReact
Requirements
- Strong proficiency in TypeScript, React, and Next.js, with experience building complete web applications.
- Strong proficiency in Node.js, with solid experience designing and building API services.
- Experience with Hono, Express, or similar Node.js service frameworks.
- Good understanding of AI Agent engineering concepts, including Agent Loop, tool calling, task orchestration, context management, tool execution, state tracking, and result persistence.
- Strong experience with PostgreSQL and Prisma for data modeling, query optimization, and business data management.
- Experience with Redis/Valkey, BullMQ, or similar queue and caching systems.
- Familiarity with Docker-based development and deployment workflows.
- Experience with Nx, Turborepo, or similar large-scale TypeScript Monorepo setups.
- Strong problem-solving skills, with the ability to independently debug complex system, data, and execution-flow issues.
- Experience delivering complete product features in real-world production environments.
Responsibilities
- Participate in the full lifecycle of AI Agent product development, including web experience, API services, agent orchestration, tool calling, Agent Loop, task planning, execution feedback, state management, and result persistence.
- Design and implement production-ready AI Agent product capabilities, including API services, task queues, async workflows, data models, permissions, billing, and business state management.
- Build and optimize the execution flow between agents and tool systems, improving stability, observability, fault tolerance, and extensibility.
- Work on complex engineering problems such as multi-agent collaboration, tool routing, context management, model selection, retries, and failure recovery.
- Develop and maintain web application features, product workflows, frontend state management, and user experience improvements.
- Maintain and improve API services, background job systems, data layers, Monorepo workflows, and Docker-based development/deployment processes.
- Collaborate with product, design, and engineering teams to ship stable, scalable, and production-ready AI product features.
- Continuously explore best practices for AI-assisted development and Agent engineering, while producing high-quality, maintainable, and testable code.
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