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Agentic AI Workflow Engineer Project Experience Program

Sapsol Technologies Inc

Location
Remote (Dallas, Texas)
Employment
Intern
Level
Entry Level
Posted 4 days ago

About the Role

SAPSOL Technologies Inc. offers an intensive 8-week program focused on practical experience with modern AI automation technologies, AI agents, and workflow systems. Participants will gain hands-on experience building real-world AI solutions and developing professional project portfolios.

Skills

n8n Workflow Automation AI Agents OpenAI Large Language Models REST APIs Webhooks Prompt Engineering Retrieval-Augmented Generation Airtable PostgreSQL Google Workspace Integrations Slack Integrations CRM Workflow Automation Enterprise Workflow Design Business Process Automation Agile Collaboration

Perks

  • Remote OK

Full job details

Build Real AI Automation Systems. Gain Real Enterprise Project Experience.

SAPSOL Technologies Inc. is offering an intensive 8-Week Agentic AI Workflow Engineer Project Experience Program designed for students, professionals, business analysts, developers, and career-transition candidates who want practical experience working with modern AI automation technologies, AI agents, workflow systems, and enterprise AI use cases.

This mentor-guided program focuses on real-world project execution, enterprise workflow design, AI automation architecture, and portfolio development through collaborative team-based projects.

Why Join This Program?

Organizations across every industry are rapidly adopting AI, workflow automation, AI agents, and intelligent business systems.

The demand for professionals who understand AI workflow automation, enterprise integrations, prompt engineering, and AI-powered business processes continues to grow.

This program is designed to provide practical project experience that helps participants:

  • Build AI-powered workflow solutions
  • Understand enterprise AI implementation concepts
  • Work with modern automation tools
  • Strengthen project portfolios
  • Gain exposure to real-world business scenarios
  • Develop confidence discussing AI projects in interviews and professional environments

Program Highlights

✅ 8-Week Weekend-Based Program

✅ Live Mentor-Guided Sessions

✅ Real-Time Scenario-Based Projects

✅ Enterprise AI Workflow Implementations

✅ AI Agent & Multi-Agent System Exposure

✅ Team-Based Collaboration Environment

✅ Portfolio-Oriented Project Assignments

✅ Industry Documentation & Deliverables

✅ Resume Project Experience Support

✅ Interview & Project Discussion Preparation

Technologies & Platforms Covered

Participants may gain hands-on exposure to:

  • n8n Workflow Automation
  • AI Agents & Multi-Agent Systems
  • OpenAI & Large Language Models (LLMs)
  • REST APIs & Webhooks
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Airtable
  • PostgreSQL
  • Google Workspace Integrations
  • Slack Integrations
  • CRM Workflow Automation
  • Enterprise Workflow Design Concepts

What You Will Build

Participants may work on project implementations such as:

AI Resume Screening System
  • Resume parsing
  • Candidate scoring
  • Job matching workflows
AI Interview Evaluation System
  • AI-assisted interview analysis
  • Evaluation workflows
  • Candidate feedback generation
AI Research Assistant
  • Automated research workflows
  • Knowledge retrieval systems
AI Customer Support Chatbot
  • FAQ automation
  • Ticket routing
  • Customer support workflows
AI Content Automation Platform
  • Content generation workflows
  • Marketing automation
AI Document Processing System
  • Intelligent document extraction
  • Classification workflows
AI Sales Outreach Automation
  • Lead qualification
  • Outreach workflow automation
Multi-Agent Enterprise Workflow System
  • Decision agents
  • Action agents
  • Reporting agents
  • Workflow orchestration

Enterprise Project Experience

Participants may gain exposure to:

  • AI Workflow Architecture
  • Business Process Automation
  • Enterprise Workflow Design
  • API Integration Projects
  • Prompt Engineering Practices
  • Workflow Testing & Validation
  • Functional Documentation
  • UAT Concepts
  • Agile Collaboration
  • Enterprise AI Delivery Concepts

Project Deliverables

Participants may create:

  • Business Requirement Documents (BRDs)
  • Functional Specifications
  • Workflow Diagrams
  • Prompt Libraries
  • Test Cases
  • UAT Documentation
  • Process Flow Documents
  • Project Presentations
  • Portfolio Project Artifacts

Program StructureWeek 1

AI Automation Foundations & Workflow Design

Week 2

APIs, Webhooks & System Integrations

Week 3

AI Agents & Agentic Workflow Concepts

Week 4

RAG Systems & Knowledge Retrieval

Week 5

Enterprise Workflow Automation

Week 6

Business AI Applications & Automation Systems

Week 7

Capstone Project Development

Week 8

Project Presentation, Portfolio Review & Interview Preparation

Who Should Apply?

This program may be suitable for:

  • Students & Recent Graduates
  • Software Developers
  • Engineers
  • Business Analysts
  • SAP Consultants
  • Automation Enthusiasts
  • Career Transition Candidates
  • IT Professionals
  • Operations Professionals
  • Anyone interested in AI Workflow Technologies

No advanced coding background is required. A willingness to learn and actively participate is recommended.

What You Will Leave With

Participants may complete the program with:

  • Practical AI Workflow Experience
  • Portfolio Projects
  • Enterprise AI Project Exposure
  • Workflow Automation Knowledge
  • Documentation Experience
  • Team Collaboration Experience
  • AI Project Discussion Readiness
  • Resume Enhancement Opportunities
  • Greater Understanding of Enterprise AI Systems

Important Information

This is a structured project experience and mentorship program intended to provide guided exposure to AI workflow automation, enterprise AI concepts, and project-oriented learning.

This program is not an employment opportunity and does not guarantee placement or employment outcomes.

Any program fees are associated with mentorship, learning infrastructure, project environments, platform access, project support, and guided learning activities.

Application Process

Interested candidates may submit:

  • Updated Resume
  • LinkedIn Profile (Optional)
  • Brief Summary of Technical Interests

Email:
[email protected]

Limited seats available.