Chief Intelligence Architect

1 week ago

Australia beBeeAutonomy Full time $175,500 - $244,750
Job Title:

Data Scientist – AI Agent Engineer

About the Role:

At our company, we are pushing the boundaries of intelligent trading systems by leveraging AI Agents to autonomously handle complex workflows in fraud detection, customer support, risk monitoring, and operational decision-making. As a Data Scientist in AI Agent Engineering, you will design, build, and deploy production-grade multi-agent systems that reason, plan, and execute tasks at scale.

Responsibilities:
  • AI Agent Development & Orchestration: Design and implement multi-agent systems to manage fraud detection, risk monitoring, and operational workflows. Build middleware, task delegation, and communication protocols for seamless agent interaction.
  • RAG & Knowledge Systems: Develop retrieval-augmented generation (RAG) pipelines integrating real-time market, regulatory, and trading data. Build and maintain vector databases and semantic search systems that power contextual agent decision-making.
  • Safety & Governance: Implement safety frameworks, guardrails, and human-in-the-loop approval systems. Monitor agent behaviour, detect anomalies, and enforce regulatory and business 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 and LLM fine-tuning.
  • Knowledge of big data tools and containerized environments.
Benefits:
  • Shape the future with the world's leading blockchain ecosystem.
  • Collaborate with world-class talent in a user-centric global organization with a flat structure.
  • Tackle unique, fast-paced projects with autonomy in an innovative environment.
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
  • Competitive salary and company benefits.
  • Work-from-home arrangement.

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