Intelligent Trading Systems Engineer

4 days ago


Sydney, New South Wales, Australia beBeeAutomation Full time $200,000 - $250,000
Job Title:

Data Scientist – AI Agent Engineering

About the Role:

We are building intelligent trading systems leveraging AI Agents to handle complex workflows. As a Data Scientist in AI Agent Engineering, you will design and deploy production-grade multi-agent systems that reason, plan, and execute tasks at scale.

Responsibilities:
  • Agent Development & Orchestration: Design and implement multi-agent systems to manage fraud detection, risk monitoring, and operational workflows.
  • RAG & Knowledge Systems: Develop retrieval-augmented generation pipelines integrating real-time market, regulatory, and trading data.
  • Safety & Governance: Implement safety frameworks, guardrails, and human-in-the-loop approval systems. Monitor agent behaviour, detect anomalies, and enforce compliance.
  • Agent CI/CD & Infrastructure: Develop agent testing, versioning, and deployment pipelines. Build A/B testing frameworks, rollback strategies, and monitoring systems to optimise production agents.
  • Collaboration: Work closely with risk, infrastructure, and product teams to embed safety constraints, streamline agent-human interaction patterns, and adapt agent solutions to business needs.
Requirements:
  • 2+ years of experience in machine learning or AI systems development.
  • Strong background in LLMs, prompt engineering, and AI Agent frameworks.
  • Hands-on experience with RAG systems, vector databases, and real-time data integration.
  • Proficiency in Python; familiarity with FastAPI, Celery, or Ray a plus.
  • Experience with APIs (OpenAI, Anthropic) and LLM fine-tuning.
  • Knowledge of big data tools (Spark, Kafka, Redis) and containerized environments (Docker, Kubernetes).
  • AI Agent Specialization: Workflow design, guardrails and oversight frameworks, semantic search, monitoring, and rollback strategies.
  • Background: Master's degree (or equivalent experience) in Data Science, AI Engineering, or Applied ML. Experience with large-scale, real-time systems; financial or trading domain knowledge preferred.
  • Soft Skills: Strong problem-solving and communication skills, ability to work in fast-changing environments, and a passion for AI agents, LLMs, and automation.
Why Us:
  • Shape the future with the world's leading blockchain ecosystem.
  • Collaborate with world-class talent in a user-centric global organisation.
  • Tackle unique projects with autonomy in an innovative environment.
  • Thrive in a results-driven workplace with opportunities for growth and continuous learning.
  • Competitive salary and company benefits.
  • Work-from-home arrangement.
Equal Opportunities Employer:

We believe having a diverse workforce is fundamental to our success.



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