AI Engineer

5 days ago

Singapore InternSG Full time

Date Listed 25 Jul 2025Job Type Entry Level / Junior Executive, Experienced / Senior Executive Job Type Entry Level / Junior Executive, Experienced / Senior Executive Full/Perm Intern/TS Job Period Immediate Start, For At Least 6 Months Profession Finance Location Name Address Map $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. Overview 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 #J-18808-Ljbffr

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