Description

Join G2 as a GTM AI Engineering Intern to build foundational infrastructure for AI initiatives, focusing on AI asset inventory, agent development, and deployment across the organization.

Duration

10 weeks: June 1 - August 7

Academic Requirement

A rising Junior or Senior at an accredited college or university pursuing a degree in Computer Science, Software Engineering, AI/ML, or related field

Responsibilities

• Conduct technical stakeholder interviews to identify and catalog AI models, agents, and automation tools
• Document use cases, architectures, input/output specifications, and business outcomes for AI assets
• Build and deploy AI agents for high-priority use cases
• Design agent workflows, prompts, and decision logic
• Implement integrations between AI agents and existing systems
• Test, iterate, and optimize agent performance
• Establish deployment patterns and best practices for scaling agents
• Analyze patterns across use cases to identify opportunities for consolidation or expansion
• Develop technical documentation and presentation materials
• Create a centralized knowledge base for AI assets and implementation patterns
• Present insights and demos to leadership and cross-functional teams
• Contribute to strategic planning for AI architecture and governance

Requirements

• 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 and prompt engineering
• Experience with workflow automation tools and orchestration frameworks
• Strong written and verbal communication skills
• Ability to translate technical capabilities into business value
• Self-starter comfortable with ambiguous, exploratory projects