Careers
Build agentic systems with us
Small team, real production systems, hands-on mentorship. You will ship code that runs live equity research pipelines, data visualizations, and multi-agent workflows — not slide decks.
How we work
Applied Agentic is a Hong Kong-based AI company building institutional-grade multi-agent systems for capital markets. We are a lean team — every person ships to production. We value curiosity, precision, and the ability to learn fast over credentials.
- Ship daily — small commits, fast feedback, production-first thinking
- Learn by doing — no sandboxed "training projects"; you touch the real system from week one
- Explain your work — if you can't write a clear commit message or doc, the code isn't done
- Own the outcome — you build it, you deploy it, you monitor it
Open roles
HK-01
Research Engineer Intern
Research Engineer Intern
You will work directly on our proprietary analytical systems — researching and developing multi-modal mixture-of-expert tools, building pipelines that transform alternative data into actionable insights, and deploying to our Google Cloud production environment. This is a backend-heavy, code-intensive role.
What you will do
- Research and analyze alternative data sources; develop proprietary tools and inference insights using bleeding-edge techniques
- Data transformation, signal generation, and feature engineering across structured and unstructured datasets
- Research and develop multi-modal mixture-of-expert analytical tools for capital markets
- Write and orchestrate LLM prompt chains and agentic workflows for structured research output
- Work with Google Cloud deployment framework — CI/CD, container orchestration, cloud-native services
- Hands-on work with Kafka, RabbitMQ, and Pub/Sub messaging frameworks
- Build and maintain D3.js and Canvas data visualizations for the browser
What we are looking for
- Strong fundamentals in Python; exposure to Rust, Java, or C++
- Comfort with the command line — git, shell scripting, package management
- CLI and MCP development experience
- Experience with core GenAI concepts (e.g., Large Language Models (LLM), multi-modal, large vision models) and experience with text, image, video, or audio generation
- Hands-on experience with Vertex AI, BigQuery, Cloud Storage, and Dialogflow
- Desire to build multi-agent enterprise and compliance guardrail harnesses
Nice to have
- Exposure to financial data and quantitative processes
- Alternative and unstructured data processing and signal generation
- Experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field
- Aptitude to learn across multiple disciplines spanning mathematics, technology, and finance
HK-02
Design & Data Intern
Design & Data Intern
You will shape how complex financial data is presented to users — research pages, interactive charts, slide decks, and dashboards. This role sits at the intersection of design thinking and data literacy. No prior coding experience required — we will teach you.
What you will do
- Design and iterate on data visualizations — interactive charts, research page layouts, and dashboard interfaces
- Create slide deck layouts and visual templates for equity research output
- Write and edit research summaries — translating analyst output into clear, readable prose
- Build and maintain CSS stylesheets for the public site (we will teach you the basics)
- QA live pages — check layout, typography, colour contrast, mobile responsiveness
- Produce diagrams, infographics, video content, and brand assets for the site and social channels
What we are looking for
- Strong visual sense — you notice when type is misaligned, colours clash, or spacing is inconsistent
- Ability to write clearly and concisely in English; communicate in either English or Cantonese
- Comfort with numbers — you don't need to be a quant, but you should be able to read a financial table and spot errors
- Willingness to learn HTML, CSS, and basic JavaScript on the job
- Willingness to learn cutting-edge LLM and agentic AI related technology on the job
- Interest in design tools and video creation & analysis models
Nice to have
- Exposure to data visualization tools (Tableau, D3, Observable, Flourish)
- Basic understanding of typography, grid systems, or information design
- Experience with Markdown or static site generators
- Interest in finance, economics, or current affairs
How to apply
Send an email to [email protected] with:
- Your CV or resume (PDF preferred)
- A short note (3-5 sentences) on why this role interests you and what you want to learn
- A link to your work — GitHub, portfolio, personal site, coursework, or anything that shows how you think
We review every application. No cover letter templates — we want to hear your voice. If you are a good fit, we will schedule a short conversation within one week.
What you get
Production experience
You will work on real systems serving live users — not toy projects or busywork.
Direct mentorship
Work directly with the founder and senior engineers. No layers of management between you and the code.
Portfolio of shipped work
Every intern leaves with visible, deployed artifacts they can point to — pages, tools, and data pipelines that run in production.
Flexible arrangement
Part-time or full-time, aligned with your academic schedule. Hybrid in Hong Kong with remote days.