AI Summary
Design and deploy AI agents to automate exchange operations, champion AI-driven software engineering, and integrate protocols and APIs. The ideal candidate has hands-on experience with AI tooling, agentic frameworks, and advanced prompting. Familiarity with crypto/FinTech and security best practices is a plus.
Key Highlights
Design and deploy AI agents for autonomous trading ecosystem
Champion AI-driven software engineering
Integrate protocols and APIs
Key Responsibilities
Architect and deploy multi-agent systems
Implement the Model Context Protocol
Design sophisticated 'Chain-of-Thought' and 'Plan-and-Execute' reasoning paths
Technical Skills Required
Benefits & Perks
Top-tier salary
Performance bonuses
Full relocation to Dubai
Remote flexibility
Nice to Have
Familiarity with futures trading, perpetuals, or blockchain data structures
Experience in 'Red Teaming' AI agents
Job Description
OneBullEx is transitioning into an AI exchange. As an AI Engineer in our Data & AI department, you will not just manage tools; you will architect the autonomous systems that power our trading ecosystem. You will be responsible for deploying AI agents that can reason, execute code, and manage complex financial workflows with minimal human intervention.
Key Responsibilities
- Agentic System Development: Architect and deploy multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen to automate exchange operations (e.g., automated risk assessment, fraud detection, and 24/7 liquidity monitoring).
- AI-Driven Software Engineering: Champion the use of Claude Code, OpenAI Codex, and Cursor to build and refactor exchange infrastructure. You are expected to use these tools to achieve a "10x developer" output, maintaining high-performance C++ or Python backends.
- Protocol & API Integration: Implement the Model Context Protocol (MCP) to allow AI agents to securely interact with our internal trading engines, real-time market data feeds, and third-party DeFi protocols.
- Prompt Engineering & Logic Tuning: Design sophisticated "Chain-of-Thought" and "Plan-and-Execute" reasoning paths to ensure agents remain reliable during high-volatility events in the crypto market.
- Internal Tooling: Build custom internal AI dashboards that allow other departments (Risk, Ops, BD, Marketing etc.) to spin up their own specialized "micro-agents" for specific tasks.
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Technical Skills (The "Must-Haves")
- Latest AI Tooling: Deep, hands-on experience with Claude Code, Codex, and AI-native IDEs like Cursor.
- Agentic Frameworks: Proven ability to build autonomous agents using LangGraph, AutoAgent, or Semantic Kernel.
- Advanced Prompting: Mastery of ReAct, Few-Shot, and System Persona optimization to reduce hallucination in financial contexts.
- Programming: Proficiency in Python (specifically for AI/ML libraries) and an understanding of Rust or Go (for high-frequency exchange environments).
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- Crypto/FinTech: Familiarity with futures trading, perpetuals, or blockchain data structures (Web3.js, Ethers.js).
- Security First: Experience in "Red Teaming" AI agents to ensure they cannot be manipulated into unauthorized withdrawals or data leaks.
- Education: Bachelor's or Master's in Computer Science, Mathematics, or a related quantitative field.
- AI-Native Environment: We don't just use AI to write emails; we use it to run the exchange. You will have the freedom to experiment with the latest models (Gemini 3, GPT-5, Claude 4.5+) as they launch.
- Competitive Package: Top-tier salary, performance bonuses tied to automation efficiency, and full relocation to the crypto-friendly hub of Dubai.
- Remote Flexibility: While we have a core team in Dubai, we are open to elite talent working remotely in compatible time zones.
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