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Details
Hiring Person/Company Hiring as Company
Type of Ad Job Offer
Salary from 100000
Career Level Mid-Senior Level
Salary Period Monthly
Position Type Full-time
Description
Multi-Agent AI Trading System
About the Role: We’re building an advanced automated trading system that combines
multiple AI “agents” — global news sentiment, macroeconomic indicators, and technical
market signals — into a coordinated decision engine that identifies, executes, and manages
trades. We’re looking for a lead engineer to architect and build this system from prototype
through live deployment.
What You’ll Do:
Design the overall system architecture: data ingestion, signal generation, multi-agent
decision logic, execution, and risk controls.
Build and backtest trading strategies using historical and live market data.
Integrate real-time news, macroeconomic, and technical indicator feeds.
Build the orchestration layer that combines multiple AI agents’ outputs into a single
trade decision.
Implement broker/exchange API integration for automated trade execution and exit.
Design and implement risk management: position sizing, stop-losses, drawdown limits,
circuit breakers.
Set up monitoring so the system can be safely run unattended.
What We’re Looking For:
Proven experience building or working on algorithmic/systematic trading systems
(personal projects count if demonstrable).
Strong Python skills; experience with trading/backtesting frameworks (e. g. , backtrader,
zipline, or custom).
Experience with broker or exchange APIs (e. g. , Interactive Brokers, Alpaca, Binance, or
similar).
Familiarity with LLM/AI agent frameworks is a strong plus (LangChain, LangGraph, or
custom multi-agent orchestration).
Understanding of risk management principles in trading — this is non-negotiable, not
optional polish.
Comfortable working directly with a non-technical founder to translate vision into a
working system.
Nice to Have:
Experience with real-time data pipelines and low-latency systems.
Background in quantitative finance, market microstructure, or econometrics.
Prior experience with NLP/sentiment analysis on news data.
Engagement: [Contract / part-time to start, full-time potential — specify based on your
budget]
To Apply: Send a brief overview of relevant projects (GitHub, backtest results, or system
descriptions welcome) plus your availability.
Your safety matters to us!
- Only meet in public / crowded places such as metro stations and malls.
- Never go alone to meet a buyer / seller, always take someone with you.
- Check and inspect the product properly before purchasing it.
- Never pay / transfer any money in advance before inspecting the product.
Ad ID: 1117494804
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