Founding Engineer – AI/Finance (Retail Trading Research & Strategy) - Remote or New York City
We are building an AI platform that empowers retail traders with institutional-grade research tools and real-time strategy guidance. As our first technical hire, you will own the full lifecycle from AI model research to production deployment. You will design and implement data pipelines for market, news, and sentiment feeds, fine-tune LLMs for financial reasoning, and ship features that help retail traders make smarter, faster decisions with hedge-fund-level tooling. You will collaborate directly with AI researchers, engineers, traders, and quants from top institutions to bring financial intelligence to the retail trading world.
Minimal Qualifications Proficiency in Python and modern ML/AI frameworks (e.g., PyTorch, JAX) Hands-on experience with LLMs, transformers, time-series modeling, or AI agents Strong understanding of cloud infrastructure (AWS/GCP), scalable API development, and data engineering pipelines Proven ability to take projects from initial concept to production deployment Master’s or PhD in Computer Science, Mathematics, or Physics (in progress acceptable), or a Bachelor’s degree with a proven track record of work supported by a GitHub
What We’re Looking For AI/ML Expertise – Proven experience with LLMs, transformers, or other foundation models Cloud & Infrastructure Skills – Proficiency in the Python ML stack, scalable API development, and cloud platforms such as AWS or GCP End-to-End Ownership – Ability to take projects from concept through production deployment Research Mindset – Experience implementing state-of-the-art AI methods and conducting research in ML/AI
Nice to Have Publications in ML/AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.) Trade strategy generation and backtesting experience Interest in trading and understanding of retail workflows across stocks, crypto, and futures Familiarity with brokerage APIs (Interactive Brokers, Alpaca, etc.) Knowledge of options strategies, risk management, and portfolio optimization The drive, creativity, and technical depth to be that “cracked” engineer
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