Project Destined AI Engineer

📋 Role Overview
This role will allow you to advance Project Destined's internal AI capability while playing a central role in the design and delivery of our hackathon programming. You will identify, build, and operationalize AI use cases across the organization — reducing manual work for our program, partnerships, and recruiting teams — and translate that same technical fluency into student-facing competitions that produce real, working products. You will collaborate across teams to ensure high-quality program delivery and help position Project Destined at the forefront of applied AI in real estate education.

🔑 Key Responsibilities
☑️ Internal AI Systems & Use Case Development
Identify, scope, and build AI-enabled solutions that improve how Project Destined operates day to day.
• Partner with program, partnerships, recruiting, and finance teams to surface high-value AI use cases and prioritize them by impact and effort.
• Design and ship internal AI applications and assistants (document analysis, participant support, content generation, reporting) using the Claude API, Enterprise ChatGPT, and adjacent tooling.
• Build and maintain prompt libraries, evaluation sets, and system prompts so internal AI outputs remain accurate, on-brand, and reliable.
• Establish guardrails for internal AI use, including access controls, cost and rate limit management, per-team budget controls, and usage monitoring.

☑️ AI Agent Development & Deployment
Own the build, testing, and deployment readiness of agentic AI workflows supporting internal and program use cases.
• Develop multi-step and multi-agent workflows that connect organizational data, external APIs, and internal tools.
• Run structured evaluation of agent outputs for accuracy, safety, and program relevance before deployment.
• Implement feedback loops, logging, and error handling so agent performance improves measurably over time.

☑️ Hackathon Design & Technical Delivery
Serve as the technical lead for Project Destined hackathons, from concept through judging.
• Co-design hackathon themes, briefs, task guides, and judging rubrics alongside the program team.
• Build and maintain the technical infrastructure participants rely on, including AI gateway access, API key provisioning, per-team usage limits, starter templates, and reference implementations.
• Prepare and run technical enablement sessions, live demos, and office hours for participating student teams.
• Provide hands-on troubleshooting during build weeks across the participant stack (Lovable, Supabase, n8n, Claude API, and similar tools).
• Design the infrastructure to be reusable across cohorts, reducing setup time and cost for each subsequent hackathon.

☑️ Automation & Workflow Engineering
Ensure automation components across the organization are scalable, auditable, and aligned with AI workflows.
• Build and optimize automations connecting tools such as Zapier, n8n, Zoom, Canvas, Monday.com, Airtable, and Slack.
• Monitor workflow reliability, reduce technical debt, and implement alerting for automation failures.
• Document workflows so they remain maintainable as the team and program volume grow.

☑️ Cross-Functional Collaboration & AI Enablement
Act as the connective layer between organizational needs and technical execution.
• Translate operational and program requirements into scalable AI solutions with clear scope and success criteria.
• Train internal staff on AI tooling and shared best practices, raising baseline AI fluency across the organization.
• Support AI-related course content validation and technical review when program needs require it.

💡 Preferred Skill Set
• Hands-on experience building with LLM APIs (Anthropic Claude, OpenAI) including tool use, structured outputs, and agent frameworks
• Proficiency in Python and JavaScript/TypeScript; comfort with SQL
• Experience with automation platforms (Zapier, n8n, Make) in production environments
• Familiarity with modern full-stack and no-code/low-code tooling (Supabase, Lovable, Vercel, or equivalents)
• Working understanding of RAG, embeddings, vector databases, and evaluation methodology
• Experience running or supporting technical events, workshops, or bootcamps is a strong plus
• Interest in commercial real estate, finance, or education technology
• Strong operational mindset: reliability, governance, cost awareness, scalability

💼 What We Offer
• Opportunity to work at the forefront of the nation's largest and fastest growing real estate education and social impact platform.
• Unusual ownership of AI strategy and implementation at an organization actively deploying it across programs and operations.
• Hands-on exposure to program management, business development, and AI product innovation.
• Direct collaboration with leading real estate firms, universities, and student leaders.
• A dynamic, entrepreneurial team culture with room to grow and lead.

➡️ Next Steps
Interested candidates should submit a resume and a short note describing an AI system they have built and shipped, including the stack used and the outcome it produced. Links to working projects, repositories, or demos are strongly encouraged.