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AI Engineer – Multi-Agent Quant Trading Systems Job Opening In Tiong Bahru – Now Hiring J&D Tech


Job description

Company

J&D Tech

Designation

AI Engineer – Multi-Agent Quant Trading Systems

Date Listed

25 Jul 2025

Job Type

Entry Level / Junior Executive, Experienced / Senior Executive

Full/PermIntern/TS

Job Period

Immediate Start, For At Least 6 Months

Profession

Engineering

Industry

Finance

Location Name

120 Lower Delta Road, Singapore

Address

120 Lower Delta Rd, Singapore

Map

Allowance / Remuneration

$1,200 - 2,550 monthly

Company Profile

We are a next-generation quant trading startup with a singular mission: to conquer the US stock market using AI-first systems.

Founded by traders and engineers, we operate at the intersection of finance, machine learning, and high-performance computing.

Our edge comes from deep contextual understanding, self-improving multi-agent architectures, and a relentless focus on generating real, quantifiable alpha in small-cap equities.

We are building a fully automated hedge fund, where every decision is driven by intelligence — not guesswork.

Job Description

Role Overview

As an AI Engineer Intern, you'll be part of the core team building an agentic AI infrastructure that can:

  • Generate new trading features using methods like analogy, reverse engineering, and brute-force composition
  • Classify and tag those features into meaningful groups
  • Validate logic, backtest results, and determine what works
  • Autonomously write and debug trading strategy code in C++/Python
  • Create and manage a growing feature and strategy library with real P&L attribution
  • Continuously improve itself through feedback loops and structured memory

You won't just be tweaking models — you'll be building intelligent agents that outthink the market.

What You'll Do

  • Help design and implement multi-agent workflows using Claude, GPT, and open-source LLMs
  • Build Python tools for prompt chaining, agent task orchestration, and validation pipelines
  • Design test frameworks for checking whether a generated feature matches its description
  • Write evaluation logic to measure correlation between generated features and trading P&L
  • Work with traders and developers to integrate AI outputs into the live strategy framework
  • Brainstorm and iterate on new ways to create, test, and deploy trading logic automatically

Requirements

Must-Have:

  • Passion for AI, LLMs, and financial markets
  • Strong Python skills and familiarity with LangChain / OpenAI / Claude APIs
  • Curious, fast learner, and comfortable working in an ambiguous, high-speed environment
  • Understanding of prompt design, task decomposition, or agentic workflows
  • Interest in quantitative finance, trading strategies, or market microstructure

Nice-to-Have:

  • Exposure to C++ (for quant strategy integration)
  • Familiarity with small-cap equity trading, backtesting, or trading system design
  • Experience working on LLM planning, memory, or self-reflection frameworks
  • Experience with real-world prompt failures and debugging generative output mismatches

What You'll Gain

  • Real-world experience building cutting-edge agentic AI systems for quant trading
  • Exposure to the end-to-end lifecycle of a fully automated trading system
  • Mentorship from experienced quants, traders, and AI engineers
  • Opportunity to work on high-impact projects — your code could directly affect live P&L
  • Fast feedback loops, full ownership, and no red tape

To Apply

Send your resume, GitHub/portfolio, and a short note on why you're interested in agentic AI for trading to (your email/contact).

Bonus: include one AI idea that could help a trading system get smarter.

If you're the kind of person who reads GPT papers and watches stock tickers for fun — you'll fit right in

Application Instructions

Please apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

Apply for this position

Required Skill Profession

Other General


  • Job Details

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Unlock Your AI Engineer Potential: Insight & Career Growth Guide


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