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Entry Level Ai Engineer Jobs in Minnesota (NOW HIRING)

RemarQable Software

Python Developer

Minneapolis, MN · On-site

$25/hr

Join the Ground Floor of a Big Idea sparQ is a new AI-powered productivity suite for small ... We're currently looking for a motivated, entry-level Python developer to join us at the earliest ...

Ulteig

Substation Design Electrical Engineer

Saint Paul, MN · On-site +1

$91K - $112K/yr

The Substation Design Engineer develops and reviews utility substation drawings, including General ... Demonstrates openness to innovation by embracing and applying evolving technology and AI tools to ...

HDR

Structural EIT/Coordinator

Saint Louis Park, MN · On-site

From high-performance data centers driving the future of AI to dynamic commercial environments ... Engineering. * 2-4 years of experience preferred, although entry-level candidates will be ...

HDR

Structural EIT/Coordinator

Saint Louis Park, MN · On-site

From high-performance data centers driving the future of AI to dynamic commercial environments ... Engineering. * 2-4 years of experience preferred, although entry-level candidates will be ...

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All JobsAi Engineer JobsEntry Level Ai Engineer JobsEntry Level Ai Engineer Jobs in Minnesota

Entry Level Ai Engineer information

See Minnesota salary details

$29.4K

$67.9K

$115.6K

How much do entry level ai engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level ai engineer in Minnesota is $67,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $76,900.00 per year, depending on experience, location, and employer.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What types of projects do entry level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is not always mandatory, demonstrating skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI taking entry level AI engineering jobs?

Entry level AI engineering jobs are growing as demand for AI skills increases, but competition remains high. Success in these roles typically requires knowledge of programming languages like Python, familiarity with machine learning frameworks, and a strong foundation in mathematics. Entry-level positions often focus on data preprocessing, model training, and assisting senior engineers.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

What are the most commonly searched types of Ai Engineer jobs in Minnesota?

The most popular types of Ai Engineer jobs in Minnesota are:

What are popular job titles related to Entry Level Ai Engineer jobs in Minnesota?

For Entry Level Ai Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Engineer jobs in Minnesota look for?

The top searched job categories for Entry Level Ai Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Entry Level Ai Engineer jobs?

Cities in Minnesota with the most Entry Level Ai Engineer job openings:

Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Minnesota as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $67,934 per year, or $32.7 per hour.

Agentic AI Workflow Engineer Project Experience Program

SAPSOL Technologies Inc.

Houston, MN • On-site

Other

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 & entry level candidates
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:

Apply