Junior AI Engineer

Axis Global Tech Limited; Hong Kong; On-site; HKD 201,000 - 357,000; Full time

Job summary

Axis Global Tech Limited in Hong Kong is building consumer AI products. You will build and ship features powered by LLMs, turning models into experiences people actually use, and own real pieces of the product from day one.

You’ll work closely with senior engineers, designers, and product teams, ship quickly, prototype rapidly, then harden what works into reliable production-grade code, collaborating across the stack to deliver features to users.

Qualifications

• 1–2 years of software engineering experience (internships and strong personal/side projects count).
• Hands-on experience with React or React Native.

Responsibilities

• Build user-facing features powered by LLMs and other models (prompting, retrieval, tool use, agents).
• Integrate third-party model APIs (Anthropic, OpenAI, etc.) and internal services into the product.
• Write evals and run experiments to measure and improve output quality, latency, and cost.
• Prototype quickly, then harden what works into reliable, production-grade code.
• Collaborate with product and design to translate ideas into shipped features.

Skills

LLMs

React

React Native

Agile

Prompting

Tools

LangGraph

LangChain

React

Job description

You don't need every item below — know some and be eager to learn the rest.

• Agent frameworks: LangGraph / LangChain — building agents, subagents, and orchestrated subagent fleets.


• Frontend: React, React Native.


• Agent infrastructure: MCP servers, subagent orchestration, short-term and long-term memory systems.


• Data: integrating external data sources into agents; synthesizing unstructured/structured data into models; scraping (bonus).

The role

You'll build and ship features for our consumer AI products — turning models into experiences people actually use. You'll work closely with senior engineers, designers, and product, owning real pieces of the product from day one. Ideal for someone early in their career who learns fast and wants to ship.

What you'll do

• Build user-facing features powered by LLMs and other models (prompting, retrieval, tool use, agents).


• Integrate third-party model APIs (Anthropic, OpenAI, etc.) and internal services into the product.


• Write evals and run experiments to measure and improve output quality, latency, and cost.


• Prototype quickly, then harden what works into reliable, production-grade code.


• Collaborate with product and design to translate ideas into shipped features.

What we're looking for

• 1–2 years of software engineering experience (internships and strong personal/side projects count).


• Some hands-on experience with React or React Native.


• Hands-on experience building something real with LLMs or AI APIs — a side project, hackathon app, or shipped feature.


• Curiosity about agent frameworks (LangGraph / LangChain) and working with multiple AI models.


• Comfort working across the stack to get a feature in front of users.


• Speed and a bias toward shipping and iterating.

Nice to have

• Experience building agents or subagents, or wiring up tools/MCP servers.


• Familiarity with RAG, evals, or giving agents memory (short- or long-term).


• Experience integrating external data sources into an app or model; scraping unstructured data.


• Experience in crypto, fintech, or payments, or with blockchain data / RPC / stablecoins.


• A portfolio of consumer apps or AI demos you can show us.