Agentic AI Project Experience Program (Remote)
Resumo da vaga pela JobGrid
Agentic AI Project Experience Program (Remote) at Sapsol Technologies Inc: Remoto, Estados Unidos; Estágio; TI; Data Science e ML. This listing is part of JobGrid's Empregos remotos de IA em páginas de empresas. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remoto, Estados Unidos
- Role classification: TI, Data Science e ML, Estágio
- Source freshness: checked by JobGrid on 2026-05-31.
- Application path: candidates continue to the employer application page with non-personal referral tags.
AI Workflow Automation & Enterprise AI Systems Exposure
SAPSOL Technologies Inc. is offering an 8-Week Agentic AI Project Experience Program designed for individuals interested in gaining hands-on exposure to AI workflow automation, enterprise AI systems, AI agents, and modern automation technologies used in business environments.
This program is structured around real-time scenario-based projects and collaborative workflow implementations to help participants strengthen their practical understanding of AI automation concepts and enterprise workflow design.
Program Highlights
- 8-Week Weekend Program
- Real-Time Scenario-Based Project Exposure
- AI Workflow Automation Projects
- Enterprise AI Use Cases
- Team-Based Collaboration Activities
- Portfolio-Oriented Project Work
- Mentor-Guided Sessions
- Exposure to Modern AI Automation Tools
Technologies & Platforms Covered
Participants may gain exposure to:
- n8n Workflow Automation
- AI Agents & Multi-Agent Systems
- OpenAI / LLM Integrations
- REST APIs & Webhooks
- Prompt Engineering
- RAG Systems
- Airtable / PostgreSQL
- Google Workspace Integrations
- Slack / CRM Workflow Integrations
Project Exposure Areas
Participants may work on projects involving:
- AI Resume Screening Systems
- AI Interview Evaluation Workflows
- AI Customer Support Chatbots
- AI Research Assistants
- AI Content Automation Systems
- AI Ticket Classification Systems
- Enterprise Workflow Automation
- AI Document Processing Systems
- AI Sales Outreach Automation
- Multi-Agent Workflow Systems
Project Portfolio Exposure
Throughout the program, participants work on project-oriented assignments and workflow implementations that can help strengthen their professional project portfolio.
Participants may gain exposure to:
- AI workflow architecture
- Automation system design
- API integration workflows
- Prompt engineering concepts
- Documentation practices
- Workflow testing activities
- Team collaboration environments
- Enterprise AI implementation concepts
This program is intended to help participants build practical exposure and showcase project-oriented AI workflow experience in professional discussions and resumes.
Program Structure
- Weekend-based live sessions
- Guided workflow implementation activities
- Real-time scenario-based exercises
- Team collaboration activities
- Mentor-led walkthroughs
- Structured learning path from AI foundations to enterprise workflow systems
Who Can Apply
This program may be suitable for:
- Students & Recent Graduates
- Developers & Engineers
- Business Analysts
- Career Transition Candidates
- Automation Enthusiasts
- Professionals interested in AI workflow technologies
Candidates with exposure or interest in APIs, automation tools, AI concepts, workflow systems, or low-code/no-code platforms are encouraged to apply.
No advanced coding background is required for beginners willing to learn.
Important Note
This is a structured project experience program intended to provide exposure to AI workflow systems, enterprise automation concepts, and project-oriented learning activities. This is not an employment opportunity.
Any program fees associated with participation are related to mentorship, learning infrastructure, tools access, project environments, and guided project support.
Application Process
Interested candidates may apply with:
- Updated Resume
- LinkedIn Profile (optional)
- Brief summary of technical interests
Candidates may also send their updated resume directly to:
[email protected]