全栈工 / AI Agent 产品工程化工程师 Full Stack Software/AI Agent Product Engineer
Pixlr Group2 months ago
Remote, China +5 moreSenior
Responsibilities
- Develop AI Agent products across web experiences, API services, agent orchestration, tool calling, task planning, execution feedback, state management, and result persistence.
- Design production-ready API services, task queues, asynchronous workflows, data models, permissions, billing, and business state management.
- Build and optimize agent-to-tool execution flows, including multi-agent collaboration, tool routing, context management, model selection, retries, and failure recovery.
- Develop and maintain web application features, product workflows, frontend state management, API services, background job systems, data layers, monorepo workflows, and Docker deployment processes.
- Collaborate with product, design, frontend, backend, and infrastructure teams to deliver stable, scalable AI product functionality.
- Explore AI-assisted development and Agent engineering practices while producing maintainable and testable code.
Requirements
- Strong proficiency in TypeScript, React, Next.js, and complete web application development.
- Strong proficiency in Node.js and API service design and development.
- Experience with Hono, Express, or similar Node.js service frameworks.
- Understanding of 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, including asynchronous jobs, retries, scheduling, and background processing.
- Familiarity with Docker-based development and deployment workflows.
- Experience with Nx, Turborepo, or similar large-scale TypeScript monorepo setups.
- Strong problem-solving ability and experience independently diagnosing complex system, data, execution-flow, and performance issues.
- Experience delivering complete product features in real-world production environments.
- Preferred experience with Mastra, LangChain, LlamaIndex, AutoGen, CrewAI, RAG, vector search, embeddings, knowledge bases, LLM tool calling, or multimodal generation systems.
- Preferred experience with FastAPI, Flask, Python-based LLM applications, NestJS, Fastify, Koa, tRPC, GraphQL, WebSocket, AWS, cloud infrastructure, monitoring, logging, tracing, alerting, performance profiling, CI/CD, high-concurrency systems, or complex background job systems.
- Preferred experience designing model routing, cost controls, generation task state management, retry behavior, result consistency, or products built from 0 to 1.
Benefits
- Remote work arrangement.
- Full-time employment.
Tech Stack
Categories