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Entry Level Ai Developer Jobs in Minnesota (NOW HIRING)

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 ...

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 ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Once the task has been mastered to the satisfaction of the Chief Engineer, the Entry Level Facility ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Once the task has been mastered to the satisfaction of the Chief Engineer, the Entry Level Facility ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Facility Technician

Minnetonka, MN · On-site

$28 - $32/hr

Once the task has been mastered to the satisfaction of the Chief Engineer, the Entry Level Facility ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Entry Level Ai Developer information

See Minnesota salary details

$28.9K

$98.2K

$236.5K

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

As of Jun 15, 2026, the average yearly pay for entry level ai developer in Minnesota is $98,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $103,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Developer, and why are they important?

To thrive as an Entry Level AI Developer, you need a solid grasp of programming languages like Python, foundational knowledge in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is typically expected. Strong problem-solving skills, teamwork, and a willingness to learn are crucial soft skills for this role. These competencies enable you to contribute effectively to AI projects, adapt to evolving technologies, and collaborate well with multidisciplinary teams.

What types of projects and tasks can an Entry Level AI Developer expect to work on in their first year?

As an Entry Level AI Developer, you can expect to work on a variety of foundational tasks such as data preprocessing, implementing and testing machine learning models, and supporting senior developers with code maintenance. You may be involved in gathering and cleaning data, conducting exploratory data analysis, and assisting with model evaluation and performance tuning. Collaboration with data scientists, engineers, and product teams is common, as you’ll help integrate AI solutions into existing systems or applications. This hands-on experience is valuable for building technical skills and understanding the full AI development lifecycle.

What does an Entry Level AI Developer do?

An Entry Level AI Developer assists in designing, developing, and implementing artificial intelligence models and systems under the guidance of senior engineers. Their responsibilities often include data preprocessing, coding algorithms, testing AI solutions, and collaborating with cross-functional teams. They typically work with programming languages like Python, utilize machine learning libraries, and help improve model accuracy. This role provides foundational experience for building a career in AI and machine learning.

What is the difference between Entry Level Ai Developer vs Data Analyst?

AspectEntry Level Ai DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming languages like PythonBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, AI startups, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageDevelop AI models, machine learning algorithms, and automation toolsAnalyze data trends, generate reports, and support decision-making

While both roles require strong analytical skills and programming knowledge, Entry Level Ai Developers focus on creating AI models and algorithms, often in tech-driven environments. Data Analysts interpret data to inform business decisions, working across various industries. The roles overlap in data handling and technical skills but differ in their core objectives and tools used.

What are the most commonly searched types of Ai Developer jobs in Minnesota? The most popular types of Ai Developer jobs in Minnesota are:
What job categories do people searching Entry Level Ai Developer jobs in Minnesota look for? The top searched job categories for Entry Level Ai Developer jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Ai Developer jobs? Cities in Minnesota with the most Entry Level Ai Developer job openings:
Infographic showing various Entry Level Ai Developer job openings in Minnesota as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $98,201 per year, or $47.2 per hour.
Junior Java Developer - React.js & Spring AI Focus

Junior Java Developer - React.js & Spring AI Focus

SynergisticIT

Minneapolis, MN

Other

Posted 27 days ago


Job description

"Ghosted by companies and/or No/Failing Interviews? Lost in the Applicant Pile? Start getting offers” --- Get Hired with a Process which Works !

Graduating with a CS degree is impressive — but it's not enough anymore. Employers want hands‐on experience, real projects, and interview‐ready candidates. Getting hired in tech isn't just about knowing how to code — it's about proving you can deliver value from day one.

Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you're ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‐world scenarios.

If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back.

It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.

SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.

Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now?

A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).

Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops).

A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.

If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact & get a roadmap:https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.

In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also.

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