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Remote Ai Prompt Engineer Internship Jobs in Minnesota

UnitedHealth Group

AI/ML Engineer

Eden Prairie, MN · Remote

$98K - $176K/yr

  • Retirement

Develop prompt strategies, tool-calling patterns, grounding techniques, guardrails, and fallback behaviors with an emphasis on responsible AI practices * Partner with Data Engineering to ensure AI ...

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UnitedHealth Group

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

  • Retirement

Design and develop AI-driven solutions using LLMs to automate claims adjudication processes ... Build and optimize prompt engineering strategies for LLM-based applications * Implement and ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Eden Prairie, MN · Remote

$104K - $137K/yr

  • Retirement

Working experience with GenAI (RAG pipelines, prompt engineering, LLM integration, fine-tuning techniques like LoRA, and enterprise deployment) * Experience or strong working knowledge of Agentic AI ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

  • Retirement

Working experience with GenAI (RAG pipelines, prompt engineering, LLM integration, fine-tuning techniques like LoRA, and enterprise deployment) * Experience or strong working knowledge of Agentic AI ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

  • Retirement

Working experience with GenAI (RAG pipelines, prompt engineering, LLM integration, fine-tuning techniques like LoRA, and enterprise deployment) * Experience or strong working knowledge of Agentic AI ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

  • Retirement

Working experience with GenAI (RAG pipelines, prompt engineering, LLM integration, fine-tuning techniques like LoRA, and enterprise deployment) * Experience or strong working knowledge of Agentic AI ...

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Remote Ai Prompt Engineer Internship information

What is the difference between Remote Ai Prompt Engineer Internship vs Remote Ai Data Annotator?

AspectRemote Ai Prompt Engineer InternshipRemote Ai Data Annotator
Required CredentialsBasic programming, understanding of AI models, relevant courseworkAttention to detail, basic technical skills, training provided
Work EnvironmentRemote, collaborative with AI teams, project-basedRemote, data labeling tasks, individual or team work
Industry UsageAI development, NLP, machine learning projectsData preparation, model training support
Search & Comparison IntentLearning, internship opportunities, AI project rolesData annotation jobs, entry-level AI support roles

The Remote Ai Prompt Engineer Internship focuses on developing and refining AI prompts, requiring some technical knowledge and collaboration with AI teams. In contrast, the Remote Ai Data Annotator role involves labeling data to train AI models, emphasizing attention to detail. Both roles are remote and support AI industry needs, but they differ in responsibilities and skill requirements.

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Remote Ai Prompt Engineer Internship jobs near you

Agentic AI Workflow Engineer Project Experience Program

Sapsol Technologies Inc

Houston, MN • Remote

Full-time

Re-posted 10 days ago

Job description

Agentic AI Experience Program (Remote)

8-Week Weekend-Based Project Exposure & Mentorship Program

SAPSOL Technologies Inc. is inviting interested learners to join a remote Agentic AI Experience Program focused on AI workflow automation, enterprise AI systems, AI agents, n8n workflows, APIs, and real-world automation use cases.

Important Note:

This is a structured learning, mentorship, and project exposure program.

This is not a job, internship, employment opportunity, recruitment drive, or placement offer.

About the Program

This program is designed to help participants gain hands-on exposure to modern AI automation tools and enterprise workflow systems through guided weekend sessions, real-time scenario-based exercises, and project-oriented implementation activities.

Participants will work on practical AI automation concepts used in business environments, including workflow design, API integrations, AI agents, prompt engineering, RAG systems, CRM workflows, and enterprise automation use cases.

Program Highlights

Remote weekend-based live sessions

Mentor-guided project walkthroughs

Real-time scenario-based project exposure

Hands-on AI workflow automation activities

Portfolio-oriented project work

Team-based collaboration activities

Guided workflow testing and documentation

Exposure to enterprise AI implementation concepts

Capstone-style project experience

Technologies & Tools Covered

Participants may gain exposure to:

n8n Workflow Automation

Webhooks & REST APIs

OpenAI / LLM Integrations

AI Agents & Agentic Workflows

Prompt Engineering

RAG System Concepts

PostgreSQL / Airtable Concepts

Google Sheets / Gmail Integrations

Slack / CRM Workflow Integrations

Workflow Testing & Documentation

Project Exposure Areas

Participants may work on guided project scenarios such as:

AI Email Summarizer

AI LinkedIn Content Generation Engine

AI Research Assistant

AI Knowledge Base Chatbot

AI Sales Outreach Assistant

AI Resume Screening System

AI Interview Evaluation Workflow

AI Customer Support Chatbot

AI Ticket Classification System

AI Document Processing Workflow

Multi-Agent Workflow Automation System

Capstone Project Exposure

As part of the program, participants may work on a capstone-style enterprise AI workflow involving:

Input Agent

Decision Agent

Action Agent

Logging Agent

Reporting Dashboard

Participants may also gain exposure to real project documentation practices such as:

Business Requirement Document

Functional Specification

Process Flow Diagram

Prompt Library

Test Cases

UAT Document

Final Demo Presentation

Who This Program Is For

This program may be suitable for:

Students & Recent Graduates

Developers & Engineers

Business Analysts

Career Transition Candidates

Automation Enthusiasts

Freelancers & Founders

Professionals interested in AI workflow automation

No advanced coding background is required for beginners who are willing to learn.

Program Structure

Weekend-based remote live sessions

Saturday: AI concepts, live builds, use cases, and architecture walkthroughs

Sunday: Guided project implementation, doubt solving, and portfolio-oriented work

Structured learning path from AI foundations to enterprise workflow systems

Important Clarification

This is a paid project experience and mentorship program.

It does not include salary, employment, internship placement, or job guarantee.

Program fees are related to mentorship, learning infrastructure, tools access, project environments, and guided project support.

Enrollment Process

Interested participants may share:

Brief background summary

Technical interests

LinkedIn profile, optional

Weekend availability

To register your interest, contact:

sushma@sapsol.com

Apply