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AI Engineer

Employment

Full-time

Location

Remote

Region

Global

China

Live since

May 13, 2026

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About Ecomflow

Ecomflow is a fast-growing third-party logistics (3PL) company based in China, specializing in fulfillment solutions for direct-to-consumer (DTC) brands worldwide.

We currently support 150+ brands with efficient, scalable logistics and are now looking to bring on larger, enterprise-level clients.

About the job

You'll be the second AI hire, reporting directly to the AI Lead. You'll build, ship, and maintain AI-powered systems that automate operations across customer service, sales, marketing, and internal tooling.

You'll write production code that runs at scale, integrates with third-party systems, and saves the company real money. You'll own features end-to-end: from understanding the business problem, to designing the pipeline, to deploying and monitoring in production.

What will you do

AI agents and automations - Build and improve customer-facing and internal AI agents (Zendesk ticket automation, Slack bots, workflow agents) that handle real operational tasks

LLM pipelines - Design prompt chains, retrieval-augmented generation (RAG) systems, and structured output pipelines that connect business logic with AI models
API development - Build and maintain APIs and services that integrate AI capabilities into logistics operations (order management, tracking, customer communication)
Evaluation and monitoring - Run experiments, build eval datasets, and monitor AI system performance using Langfuse. Track accuracy, cost, and reliability metrics
Data processing - Develop background jobs for data ingestion, inference tasks, vector DB updates, and logistics workflows
Integrations - Connect AI systems with third-party tools: Zendesk, Slack, Notion, Mabang (order management), and others as needed
MCP servers - Build and maintain Model Context Protocol (MCP) servers that give AI agents structured access to internal systems, databases, and third-party APIs
AI-native WMS - Contribute to building Ecomflow's first AI-native warehouse management system, bringing intelligent automation to core logistics operations
Production systems - Deploy and maintain Cloudflare Workers, manage databases, and ensure AI systems are reliable and cost-efficient at scale

Requirements

Tech Stack

Languages: TypeScript, Python, SQL

Frameworks: Next.js, Cloudflare Workers
AI/ML: LLM APIs (Claude, OpenAI), vector databases, RAG pipelines, structured outputs
Infra: Cloudflare (Workers, D1, KV, R2), Langfuse (tracing, evals, experimentation)
Integrations: Zendesk, Slack, Notion, Mabang
Tools: Git, Linear, MCP (Model Context Protocol)

Must-haves:

2+ years of professional software engineering experience
Strong TypeScript and/or Python skills - you write clean, production-ready code
Experience building with LLM APIs (prompt engineering, structured outputs, tool use, RAG)
Comfortable with SQL databases and REST/GraphQL APIs
Can own a feature from problem definition through deployment and monitoring
Self-directed - you figure things out before asking, and you ship without being managed

What we offer