AI Driven Trading System Engineer

2 weeks ago

ahmedabad, India beBeeTrading Full time

Senior Quant AI Trading EngineerWe are seeking a skilled Senior Quant AI Trading Engineer to join our team. The successful candidate will be responsible for designing and building an AI-driven options trading system focused on SPX and ES 0DTE & 1DTE.The system will combine deep technical analysis, multi-LLM architecture, real-time commercial-grade data, cross-asset awareness, and automated execution via TastyTrade APIs.The ideal candidate will have strong programming skills in Python, experience with automated trading systems, options and futures trading, and solid understanding of risk management and drawdown control.Key Responsibilities: Design a multi-LLM council where one LLM proposes strategies, entries, exits, and risk parameters while another LLM critiques and challenges those strategies before execution. Implement workflows for proposal, critique, refinement, and final decision-making with deterministic risk rules as guardrails. Build Technical Analysis-based signals using multiple timeframe trend/momentum indicators, volatility/range tools, and market structure. Perform detailed ES trend analysis from 6 PM EST (prior evening) to 9:30 AM EST and use that analysis to take ES trades between 6 PM and 9:30 AM EST. Decide whether to exit or convert ES positions into SPX 0DTE/1DTE trades after ~10 AM EST. Implement multiple entries and exits with scaling into positions at predefined technical/volatility levels, layered profit targets and stop levels to improve average prices. Build a risk engine to set daily Max Loss and Max Profit as a % of portfolio, stop trading once limits are hit, and control max exposure, number of positions, and per-trade risk. Track and integrate major events, including FOMC, jobs data/NFP, CPI/PPI, GDP, etc., and adjust or pause trading around high-risk windows. Feed event context into LLMs for better decision-making and monitor cross-asset markets that drive SPX/ES. Required Skills and Qualifications: Strong, practical Technical Analysis skills with comfortable usage of multi-timeframe chart analysis, indicators, and price action. 4+ years in quantitative/algo trading or systematic options/futures development. Strong programming skills in Python with hands-on experience with automated trading systems using real-time data. Options and/or futures trading experience, especially with SPX/ES. Solid understanding of options greeks, IV, skew, and term structure, ES and SPX microstructure, and risk management and drawdown control. Experience with broker APIs, real-time data feeds, and cloud infrastructure is a plus. Benefits: Excellent base salary commensurate with experience. Attractive % of quarterly trading profits based on performance. Potential for increased profit share as the system scales.

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