AI Agent Developer Intern – AI Agent Development

Job Description

Intern – Traded Risk | CRISIL

The Tone:
This is an internship at CRISIL. CRISIL leverages a sophisticated ecosystem of AI tools and technology to provide solutions across its operations. This role is crucial for enhancing the efficiency of the Risk and Finance teams by automating critical business processes and establishing robust knowledge repositories using advanced AI and analytical tools. The intern’s contributions will directly support strategic initiatives within risk management.

The TL;DR
• Role: Internship
• Mission: To enhance the efficiency and operational capabilities of Risk and Finance teams through the development of AI agents, structured rule repositories, and comprehensive operational documentation for AI tools.
• Tech Stack: Crisil AI tools, organization’s existing technology stack, Excel

What You’ll Actually Do
• Develop AI Agents: Construct and deploy advanced AI agents, dedicating approximately 75% of your time to this area, including the primary focus in the first four weeks on creating an automated Business Requirement Document (BRD) drafting agent from business inputs.
• Build Rule Repository: Dedicate approximately 25% of your time to progressively building a structured Excel-based repository containing roughly 3,000 IRB/self-assessment rules for the IRB/Self-Assessment Tool.
• Create Operating Manual: Design and document a comprehensive Operating Manual for the Risk and Finance teams, outlining the tools available within the Crisil ecosystem and providing step-by-step guidance on utilizing Crisil’s existing technology stack for building and maintaining AI agents.
• Validate AI Solutions: Leverage Crisil’s AI tools to set up, test, and validate various AI agents and “Agents of Agents” for diverse activities, such as automated CV creation in Word/PPT formats.

The Must-Haves
• Background: Entry-Level. Foundational understanding of the principles of risk management is beneficial for grasping the context of traded risk and IRB/self-assessment rules.
• Experience: Practical engagement with AI agent development or similar automation projects, along with experience in data structuring or repository creation.
• Skills: Proficiency in AI agent development methodologies, strong Excel skills for data organization and management, clear technical writing for documentation, and an aptitude for understanding business requirements.