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Entry Level Ai Engineer Jobs (NOW HIRING)

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Entry Level Ai Engineer information

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$30K

$69.4K

$118K

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

As of Jul 24, 2026, the average yearly pay for entry level ai engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

Can you become an AI engineer with no experience?

Entry-level AI engineering roles often require some foundational knowledge of programming, mathematics, and machine learning concepts, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining experience through online courses, certifications, and personal projects can help you qualify for such positions. Building a portfolio demonstrating practical skills can improve your chances of entering the field without prior professional experience.

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.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer or AI research director, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with significant experience and sometimes advanced degrees. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

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 engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in top tech companies or with executive-level responsibilities. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or stock options.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning engineer, and research assistant. These positions typically require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks, and basic understanding of algorithms and data structures.
More about Entry Level Ai Engineer jobs
What cities are hiring for Entry Level Ai Engineer jobs? Cities with the most Entry Level Ai Engineer job openings:
What are the most commonly searched types of Ai Engineer jobs? The most popular types of Ai Engineer jobs are:
What states have the most Entry Level Ai Engineer jobs? States with the most job openings for Entry Level Ai Engineer jobs include:
Infographic showing various Entry Level Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.
Entry-Level AI Solutions Builder - On-Site

Entry-Level AI Solutions Builder - On-Site

Talon Air

Farmingdale, NY โ€ข On-site

$65K - $80K/yr

Full-time

Posted 5 days ago


Job description

Build Real Business Tools Using AI

Talon Air is looking for someone who loves building things with AI.

You don't need years of software engineering experience or a computer science degree. If you've built projects using ChatGPT, Codex, Cursor, GitHub Copilot, Claude, Replit, Bolt, Lovable, or similar AI tools, we want to hear from you.

This role is perfect for someone who enjoys figuring out problems, writing effective prompts, and turning ideas into working applications.

You'll work directly with company leadership to build internal tools that make our business run more efficiently.


What You'll Do

You'll use AI-powered development tools to create software that employees use every day, including:

  • Internal web applications
  • Dashboards and reporting tools
  • Workflow automations
  • Business process improvements
  • Forms and portals
  • AI-powered assistants
  • Scripts and integrations
  • Internal databases and utilities

You'll spend most of your time using modern AI development tools to build solutions-not writing thousands of lines of code from scratch.


What We're Looking For

We're looking for curious builders who like solving problems.

You should have:

  • Experience using AI tools to build projects
  • Strong prompting skills
  • Basic programming knowledge (Python, JavaScript, TypeScript, or similar)
  • Ability to learn new software quickly
  • Good communication skills
  • Interest in improving business operations through technology

You do not need to be an expert software engineer.


Great Candidates Might Have
  • Built personal AI projects
  • Created automations for school, work, or personal use
  • Used Cursor, Codex, ChatGPT, GitHub Copilot, Claude, Bolt, Lovable, Replit, or similar tools
  • Worked with APIs
  • Built simple web apps
  • Used Google Sheets or Excel automation
  • Connected different software together
  • Learned through online courses or personal projects

Bonus Skills

Experience with any of these is helpful but not required:

  • Python
  • JavaScript
  • TypeScript
  • SQL
  • APIs
  • React
  • Dashboards
  • Low-code/no-code platforms
  • Workflow automation
  • Git

What Success Looks Like

In this role you'll:

  • Turn ideas into working tools quickly
  • Use AI to accelerate development
  • Improve internal business processes
  • Learn new technologies as AI evolves
  • Build software employees actually enjoy using

Why Join Talon Air?

Technology is becoming a core part of how we operate.

You'll work directly with leadership to build proprietary software that improves how our company functions. Rather than maintaining existing products, you'll have the opportunity to create new tools, automate processes, and explore practical applications of AI that have a real impact on the business.

If you're someone who enjoys experimenting with AI, building useful applications, and learning new technologies, this role offers the chance to turn those skills into a career.


We encourage you to apply even if you don't meet every qualification.

If you've built interesting projects with AI, enjoy solving problems, and can show us what you've created, we'd love to hear from you.

Please include links to GitHub repositories, personal projects, demos, or anything you've built using AI.