GTM AI Engineering Intern at G2 in Chicago, IL

Summary: G2 is the world's largest and most trusted software marketplace, and they are seeking a GTM AI Engineering Intern to assist in building foundational infrastructure for their AI initiatives. The intern will focus on creating an inventory of AI assets, developing and deploying AI agents, and conducting use case analysis to optimize AI applications within the organization. Responsibilities: - Conduct technical stakeholder interviews across the GTM teams to identify and catalog existing AI models, agents, and automation tools - Document current use cases, architectures, input/output specifications, and business outcomes for each AI asset - Build and deploy AI agents for high-priority use cases (e.g., customer re-engagement, account intelligence, review analysis) - Design agent workflows, prompts, and decision logic for production use cases - Implement integrations between AI agents and existing systems (CRMs, data platforms, communication tools) - Test, iterate, and optimize agent performance based on business outcomes - Establish deployment patterns and best practices for scaling agents across teams - Analyze patterns across documented use cases to identify opportunities for consolidation or expansion - Evaluate technical feasibility and architecture requirements for new AI applications - Assess which assets could be standardized and shared across teams - Develop technical documentation and presentation materials summarizing findings - Create a centralized knowledge base for AI assets, agents, and implementation patterns - Present insights and demos to leadership and cross-functional teams - Contribute to strategic planning for AI architecture and governance Required Qualifications: - A rising Junior or Senior at an accredited college or university pursuing a degree in Computer Science, Software Engineering, AI/ML, or related field - Hands-on experience building and deploying AI agents or automation workflows - Strong programming skills (Python preferred) with experience using APIs and SDKs - Familiarity with LLM platforms (OpenAI, Anthropic, etc.) and prompt engineering - Experience with workflow automation tools and orchestration frameworks - Strong written and verbal communication skills for technical and non-technical audiences - Ability to translate technical capabilities into business value - Self-starter comfortable with ambiguous, exploratory projects Required Skills: AI agent development, Python programming, API integration Important Skills: LLM platforms, workflow automation Nice-to-Have Skills: communication, self-starter