Project Description

We are seeking an experienced AI Systems Engineer to develop a multi-agent, AI-driven trading system using LLM orchestration. The project involves building an autonomous “AI Council” that analyzes and executes high-frequency trading strategies through an adversarial decision-making framework. This is an advanced, multi-phase project with a focus on simulation, optimization, and live deployment.

Core Responsibilities:

Build a multi-agent LLM system (e.g., Gemini, Claude, Grok) via API
Implement adversarial logic, including a “Skeptic” agent to validate strategies
Develop memory architecture using a vector database for continuous learning
Integrate with trading platforms (e.g., 3Commas) and VPS environments
Build data pipelines for market data, on-chain analytics, and sentiment signals
Design and execute simulation and optimization workflows
Deploy and manage live trading with automated compounding logic

Project Phases:

Architecture design (LLM orchestration and memory systems)
Simulation phase (14 days, 1,000+ trades in paper trading)
Live deployment and optimization

Requirements:

Proven experience with LLM orchestration and multi-agent systems
Strong background in financial automation or trading systems
Experience with APIs, data pipelines, and real-time processing
Proficiency in backend development and cloud/VPS environments

Application Requirements (Mandatory):

Provide a brief explanation on preventing AI hallucination in trading decisions
Share proof of relevant work (multi-agent AI or financial automation projects)
Include estimated timeline and total project cost with milestones

Additional Notes:

Communication must remain within the platform
Budget to be discussed based on scope and expertise
The budget is not 100, we will have to discuss this but I want a total cost for entire project with stages of deliverables and estimated time-line.