Agentic AI Workflow Engineer

Salary: $108,000 - 148,000 per year Requirements:

• We welcome students, early-career candidates, software developers, engineers, business analysts, SAP consultants, automation enthusiasts, career changers, IT professionals, operations professionals, and anyone interested in AI workflow technologies.
• We do not require an advanced coding background.
• We recommend a willingness to learn and active participation.
• We ask applicants to submit an updated resume, an optional LinkedIn profile, and a brief summary of technical interests.

• We provide hands-on exposure to AI workflow automation, AI agents, multi-agent systems, and enterprise AI use cases.
• We guide participants through real-world project execution, workflow architecture, and automation design.
• We support collaborative, team-based project work and mentor-led learning sessions.
• We help participants build portfolio-ready solutions such as AI resume screening, interview evaluation, research assistants, customer support chatbots, content automation, document processing, sales outreach automation, and multi-agent enterprise workflows.
• We offer experience with APIs, webhooks, prompt engineering, retrieval-augmented generation, integrations, testing, documentation, UAT concepts, agile collaboration, and project presentations.
• We prepare participants for project discussions, interviews, portfolio reviews, and capstone delivery.

• Agentic AI
• AI
• AI Agents
• Airtable
• Support
• n8n
• PostgreSQL
• RAG
• REST
• SAP
• Slack
• API
• CRM
• Flow
• Marketing

More:

We are SAPSOL Technologies Inc., offering an intensive 8-week, weekend-based Agentic AI Workflow Engineer Project Experience Program for people who want practical exposure to modern AI automation technologies, enterprise workflow design, and portfolio development. Our mentor-guided program combines live sessions, scenario-based projects, industry documentation, and collaborative team learning. Participants gain access to technologies such as n8n, OpenAI and large language models, Airtable, PostgreSQL, Google Workspace, Slack, REST APIs, webhooks, and RAG concepts. The program is designed as a structured learning experience rather than an employment opportunity, and it does not guarantee placement. Fees, where applicable, support mentorship, learning infrastructure, project environments, platform access, and guided project assistance. Limited seats are available.

last updated 33 week of 2026