As an AI Agent Developer Intern at CMC Markets

You will support the development of CMC Funded, a new education-led funded trading proposition. This is a hands-on, part-time opportunity for a current undergraduate student with strong practical experience in AI agents and workflow automation to contribute to a real project in a regulated fintech environment.

Working with the CMC Funded Project Lead and colleagues across Product, Client Service, Operations, Technology, Data, Compliance, Risk, and Marketing, you will design, build, test, and monitor AI-enabled customer support, customer relationship management (CRM), and operational workflows.

Your mission: help create secure, reliable, and measurable AI solutions that improve customer onboarding, education, support, and operational visibility. Customer-facing AI outputs, production changes, and any activity with regulatory or trading implications will remain subject to approved controls and human oversight.

Key Responsibilities

• Design, build, and improve AI agents and workflow automations for customer enquiries, onboarding, educational support, account and process guidance, case and lead management, CRM updates, and internal operations.
• Configure and maintain prompts, approved knowledge sources, retrieval-augmented generation (RAG), tool use, conversation routing, state management, guardrails, and human escalation paths.
• Develop and maintain integrations between AI and automation platforms, Intercom, CRM, helpdesk, data sources, and analytics tools using REST APIs, webhooks, and other approved methods.
• Support an AI-enabled customer journey across Intercom and other approved communication or community channels, including WhatsApp, Meta, Discord, or Telegram where authorized.
• Improve CRM data quality, tagging, segmentation, and lifecycle automation so customer interactions are complete, traceable, and actionable.
• Create dashboards, alerts, and management information to monitor customer demand, service levels, AI agent performance, operational exceptions, and customer journey outcomes.
• Plan and run structured testing for accuracy, appropriateness, latency, reliability, security, escalation behavior, and customer experience; investigate issues and implement agreed improvements.
• Apply secure development and responsible AI principles, including data minimization, confidentiality, auditability, transparency, access control, and appropriate human review.
• Use practical knowledge of prop trading and funded trader journeys to translate customer and operational needs into product requirements, without providing personal investment advice or independently making trading, risk, compliance, or client eligibility decisions.
• Work with Product, Client Service, Operations, Technology, Data, Compliance, Legal, Risk, Data Protection, Information Security, and Marketing stakeholders to deliver joined-up solutions.
• Maintain clear technical and operational documentation, including solution designs, configurations, data flows, test evidence, change records, incident notes, and runbooks.
• Present prototypes, demonstrations, progress, risks, and recommendations, and manage assigned work within agreed sprint and project priorities.