全职 AI Engineer 工作, 薪水, QUANTUMLINK IT SOLUTIONS SDN. BHD. WP Kuala Lumpur 公司招聘中 - Ricebowl

We are a fintech building internal AI-powered research tools for equities. We are looking for an AI Engineer who can move fast, own technical work end-to-end, build useful tools independently, and use AI as a serious productivity multiplier.

This role is ideal for someone who has already built and shipped multiple projects on their own — not just followed tutorials — and who enjoys turning messy research workflows into reliable software tools used in real trading and investment workflows.

• Working hours: 1:00 PM – 9:00 PM

• Fully onsite role

• Full-time role

You will design and build AI-assisted research tools for our trading and investment workflows, such as:

• Tools that help analyze market data, company information, filings, news, and trading signals

• AI research assistants for summarizing, comparing, and extracting insights from financial data

• Internal dashboards, scripts, and workflows for faster idea generation and validation

• Agentic tools that automate repetitive research tasks

• Prototypes and production-ready systems that connect LLMs with databases, APIs, documents, and internal trading infrastructure

• Evaluation systems to test whether AI outputs are useful, accurate, and reliable

• Own features and tools from problem definition to working implementation

• Build working prototypes quickly and turn the best prototypes into reliable internal products

• Use LLMs and AI coding tools effectively to speed up development

• Connect AI models with real data sources, APIs, databases, and internal tools

• Design simple, usable interfaces for research workflows

• Write clean, maintainable code that other team members can understand and extend

• Debug independently and solve problems without needing step-by-step guidance

• Research new AI tools, frameworks, and model capabilities, then apply them pragmatically

• Document what you build, explain trade-offs clearly, and maintain the systems you ship

• Help define engineering standards, evaluation methods, and reusable infrastructure for AI research tools

• Strong evidence of self-directed building: personal projects, tools, apps, bots, automations, open-source work, shipped prototypes, or production systems

• Comfortable building full-stack or end-to-end tools independently

• Strong Python and/or TypeScript/JavaScript skills

• Experience using AI tools heavily in real workflows, such as ChatGPT, Claude, Cursor, Windsurf, Copilot, or similar

• Ability to learn quickly, figure things out, and work with ambiguity

• Good product sense: you care whether a tool is actually useful, not just technically impressive

• Interest in fintech, trading, markets, investing, or data-heavy research workflows

• Ability to take ownership, prioritize well, and ship without constant supervision

• Experience with LLM APIs, agent frameworks, RAG, embeddings, evals, or tool-calling

• Experience with data engineering, SQL, databases, or analytics workflows

• Experience scraping, parsing, or structuring messy web/document data

• Experience with financial data, trading systems, backtesting, or market research

• Experience building internal tools, dashboards, browser extensions, bots, or automation scripts

• Familiarity with Git, deployment, cloud platforms, and API integrations

• Experience taking a prototype into production or maintaining tools used by real users

• Someone who only has classroom experience and no independent projects

• Someone who waits for detailed instructions before starting

• Someone who uses AI casually but has not learned how to use it deeply for building

• Someone who writes code but does not think about user workflow or product usefulness

• Someone who needs a highly structured corporate environment to be productive

You might be a great fit if you:

• Have a portfolio of tools or projects you built because you wanted them to exist

• Use AI every day to code, research, debug, design, and learn

• Can take a vague problem like “make our research process faster” and turn it into a working prototype

• Are curious about how financial markets work

• Enjoy working in a small, fast-moving startup environment

• Prefer building and shipping over long theoretical discussions

• Want ownership over important internal tools, not just isolated tickets

• AI tool to summarize company filings and highlight trading-relevant changes

• Research assistant that compares multiple stocks using structured financial and market data

• Internal chatbot that queries our research notes, backtests, and trading documentation

• Tool that turns an investment hypothesis into a checklist, data pull, and validation workflow

• News and catalyst monitoring system for selected U.S. equities

• AI-assisted factor research workflow for generating, testing, and documenting ideas

• Internal agent system that automates recurring research and monitoring workflows

Please include:

1. Links to 2–3 projects you built yourself

2. A short explanation of what you built, why you built it, and what technical decisions you made

3. A short note on how you use AI tools in your development workflow

4. Any experience or interest you have in fintech, trading, investing, or data-heavy research

5. Examples of projects or systems where you took ownership from idea to shipped result

We care much more about evidence of building ability than credentials.