AI Engineer (Full-Stack · LLM / Agent Applications)

About the role

We provide overseas influencer marketing and AI video content services for Chinese brands, covering TikTok, Instagram and YouTube. Our engineering team builds the AI products behind that business — agent-driven workflows, retrieval systems and the internal tools our delivery teams use every day.

We are hiring AI engineers to build agent products end to end: from the front-end interface to the back-end services. You will own feature modules independently, and you will ship.

What you will do

• Build and deliver agent products full-stack — front-end interface through back-end services — and own feature modules independently.
• Design and implement AI product capabilities: RAG retrieval, memory systems, tool use / function calling.
• Turn LLM capability into stable, production-grade product features; continuously improve performance and user experience.
• Track the fast-moving AI landscape, evaluate new technologies and put the useful ones into production quickly.

What we are looking for

Three things matter most:

• Front-end development. You can build production business pages with React or Vue. We are not looking for candidates whose front-end experience is Vue only.
• Back-end development. You can design and implement APIs with at least one of Node.js / Python / Go. We are not looking for candidates whose back-end experience is Java only.
• At least one real AI project. Hands-on with prompts, function calling and RAG, and you have used at least one agent framework or platform (ReAct, LangChain, LangGraph, CrewAI, etc.).

Plus:

• Bachelor’s degree or above in Computer Science or a related field; 3-5 years or 5-10 years of development experience.
• Experience delivering a project from 0 to 1, with clear ownership of what you built.
• You use AI coding tools daily — Cursor, Claude Code, Codex or similar.
• You understand LLM fundamentals (prompt engineering, function calling, RAG) and are comfortable evaluating model output.
• You can handle deployment yourself: manage AWS or Alibaba Cloud services, deploy applications and model services independently.

Nice to have

• 985 / 211 / overseas top-ranked university, or big-tech experience.
• Startup or early-stage project experience.
• Familiarity with vector databases (Pinecone, Milvus, Chroma).
• Knowledge of the MCP protocol; able to build or integrate an MCP server.
• Open-source contributions or a personal technical blog.
• Technical experience or interest in social media / content platforms.
• Global top-500 university graduates preferred.

Pay: ₹380,951.23 - ₹1,637,230.51 per year

Work Location: Remote