Spring AI Studio Coach (Agentic AI), Break Through Tech (NYC)

Cornell University•New York, NY

39d•$35 - $35•Remote

About The Position

Break Through Tech is seeking AI Studio Coaches to support and guide undergraduate teams through the Agentic AI Specialization during the AI Studio Spring semester. This virtual position plays a critical role in ensuring successful project completion while fostering fellow engagement and technical growth. Working with approximately 9 Fellows across 3 project teams, the Coach will provide both technical guidance and project management support to drive successful outcomes.

Requirements

Experience in and/or demonstrated commitment to support the success and well-being of undergraduate students from all lived experiences
Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members.
Strong background in AI/ML with hands-on experience in agent development
Proficient understanding of agentic AI frameworks (i.e., LangGraph or AutoGen) sufficient to address technical questions and guide fellows to appropriate resources
Experience with RAG systems, API integrations, and cloud deployment
Ability to troubleshoot code and debug complex systems
Experience in teaching, coaching, or mentoring, or demonstrated ability to learn these skills
Excellent communication and facilitation skills
Ability to thrive in a virtual work environment

Nice To Haves

Prior Break Through Tech and/or ML Foundations experience
Advanced degree in Computer Science, Data Science, or related field
Experience with LLM applications and prompt engineering
Experience with containerization and cloud platforms (AWS, GCP, Azure)
Experience with virtual instruction or team facilitation

Responsibilities

Provide technical mentorship to teams building AI agents with LangGraph, RAG systems, and tool integrations
Review code and conduct debugging sessions to troubleshoot complex technical issues
Guide teams through agent architecture decisions, tool integration challenges, and deployment strategies
Support teams in evaluating agent performance using appropriate metrics
Attend all 4 workshops (1.5 hours each, one Tuesday each month) to circulate during breakout rooms and provide just-in-time technical support
Attend all 4 maker days (3-4 hours each, on Saturday each month) to lead breakout sessions, ensure progress, and troubleshoot technical challenges
Find and review additional resources to support team projects as needed
Conduct biweekly one-hour check-ins with each of your 3 assigned teams (6 total check-ins per month)
Meet with teams during prework periods to assess progress on agent development
Meet with teams between workshops and maker days to provide feedback on deliverables
Monitor team progress and intervene to address technical blockers or team dynamics issues
Partner with program staff to manage unresolved issues affecting project success
Participate in biweekly community of practice meetings with other coaches and program staff
Grade team deliverables using provided rubrics and track submission completion
Provide constructive technical feedback on project milestones and presentations
Review and assess prework completion, following up with fellows who haven't completed assignments
Observe final presentations and provide meaningful feedback
Maintain attendance records for workshops, maker days, and team check-ins