Applied AI Engineer | L&D
Core
Build and debug AI agents and integrations for internal teams, create reusable frameworks, and provide technical mentoring and training.
Role type
Applied AI Engineer (Internal Enablement & L&D)
Builds
Reference agents, tool integrations, workflows, starter kits, and troubleshooting guides for internal use.
Domain
Enterprise AI / Internal Developer Productivity
Deliverable
production ML models
Required skills
Python, LLM SDKs (OpenAI/Google), API integration, debugging, tool calling, multi-step workflows, structured outputs, human review, failure handling, technical mentoring, live coding instruction
Preferred skills
SQL, CI/CD, RAG, vector databases, maintainable starter kits
Technologies
Maestro, Slack, Notion, Google Workspace, Python, LLM SDKs
Responsibilities
Build and improve reference agents and tool integrations; run technical office hours and triage requests; develop reusable frameworks and documentation; teach technical content and mentor colleagues; maintain platform expertise and test new capabilities
Seniority
Mid-Senior, hands-on IC with teaching responsibilities
