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全栈工 / AI Agent 产品工程化工程师 Full Stack Software/AI Agent Product Engineer

17 hours, 8 minutes ago
China
Full-time
Senior
AI Engineer
Software Development
AWS CI/CD Docker Express.js FastAPI Fastify Flask GraphQL Koa LLM NestJS Next.js Node.js PostgreSQL Prisma Python React Redis TypeScript WebSockets
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Pixlr

Pixlr

Pixlr offers free cloud-based photo editing services with AI-powered generative tools, revolutionizing content creation for photography enthusiasts worldwide.

Software
11-50
Founded 2008
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Description

  • Participate in the full lifecycle development of the AI Agent product, including web experience, API services, agent orchestration, tool calling, task planning, and result persistence.
  • Design and implement production-ready agent capabilities such as task queues, async workflows, data models, permissions, billing, and business state management.
  • Build and optimize execution flows between agents and tools to improve stability, observability, fault tolerance, and extensibility.
  • Work on complex engineering problems 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, and user experience improvements.
  • Maintain and improve API services, background job systems, data layers, Monorepo workflows, and Docker-based deployment processes.
  • Collaborate closely with product, design, and engineering teams to ship stable and scalable AI product features.
  • Continuously explore best practices for AI-assisted development and agent engineering while producing high-quality, maintainable, and testable code.

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 systems, including async 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 skills with the ability to independently debug complex system, data, and execution-flow issues.
  • Experience delivering complete product features in real-world production environments.
  • Experience with Mastra, LangChain, LlamaIndex, AutoGen, CrewAI, or other agent orchestration frameworks, preferred.
  • Experience with RAG, vector search, embeddings, knowledge bases, LLM tool calling, or multimodal generation systems, preferred.
  • Experience with FastAPI, Flask, or Python-based LLM application development, preferred.
  • Experience with NestJS, Fastify, Koa, tRPC, GraphQL, WebSocket, or other Node.js ecosystem technologies, preferred.
  • Experience with AWS or other cloud infrastructure, deployment, monitoring, and operations, preferred.
  • Experience with CI/CD, system monitoring, logging, tracing, performance profiling, alerting, and production reliability work, preferred.
  • Experience designing and building high-concurrency systems, large-scale user-facing systems, or complex background job systems, preferred.
  • Understanding of model routing, cost control, generation task state management, retry design, and result consistency in AI products, preferred.
  • Experience building complex web products, AI products, or platform products from 0 to 1, preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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