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Entry Level Artificial Intelligence Engineer Jobs

Aires

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

Aires

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$109K - $132K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

aires

Artificial Intelligence Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

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Entry Level Artificial Intelligence Engineer information

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How much do entry level artificial intelligence engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level artificial intelligence 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.

What is an entry level artificial intelligence engineer?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What kind of projects or tasks does an entry level artificial intelligence engineer typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence engineer?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

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Entry Level Artificial Intelligence Engineer jobs near you
Infographic showing various Entry Level Artificial Intelligence Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Artificial Intelligence Engineer I

Insperity

Houston, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago

Insperity rating

7.4

Company rating: 7.4 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

223rd of 500 rated business services

Job description

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.

Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.

We've earned recognition time and again as a top place to work-named among the best by respected organizations like Glassdoor and U.S. News & World Report. We're also proud to be recognized for one of the country's Top 50 Midsize Early Talent Programs through RippleMatch's Campus Forward Awards. There's never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com.

Why Insperity?

Flexibility: Over 80% of Insperity's jobs have flexibility. We want your time to have balance, whether it's spent with coworkers, clients, family or your community.

Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.

Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.

We are seeking an Artificial Intelligence Engineer I to join our team

Summary:

This position is responsible for contributing to the design, delivery, and support of production-grade artificial intelligence systems under close guidance. This role applies foundational software engineering, data management, and generative AI skills to implement well-defined components of AI-powered applications and automated workflows. The Artificial Intelligence Engineer I focuses on building strong SQL and data management capabilities, learning enterprise AI standards, and developing proficiency in production software practices.

Responsibilities:

  • Implements well-defined components of AI solutions, including LLM-based application features and supporting services, under guidance.

  • Develops and maintains Python-based scripts, APIs, and services that support AI workflows and integrations.

  • Writes, optimizes, and validates SQL queries and data transformations used by AI systems; supports data quality checks and basic troubleshooting.

  • Assists with retrieval-augmented generation (RAG) components such as document ingestion, indexing, retrieval configuration, and prompt assembly.

  • Supports creation of evaluation datasets and execution of basic evaluation procedures to measure model outputs and system quality.

  • Follows established testing, documentation, security, and deployment practices to ensure production readiness for assigned work.

  • Identifies data issues, model failure modes, or operational risks and escalates concerns appropriately.

Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent demonstrated practical experience.

  • Zero to two (0-2) years or equivalent demonstrated experience in software engineering, data engineering, analytics engineering, or AI-related development.

  • Proficiency in SQL and foundational data management skills, including data validation, data quality awareness, and working with structured datasets (core requirement).

  • Proficiency in Python for application development, scripting, and basic API integration.

  • Introductory experience with generative AI application development, including prompt-based workflows and model-assisted features.

  • Familiarity with Git and modern development practices (branching, code review, and issue tracking).

  • Exposure to LLM tooling such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar is beneficial but not required.

  • Ability to communicate clearly, ask good questions, and incorporate feedback through iterative development.

This job specification should not be construed to imply that these requirements are the exclusive standards of the position. Incumbent will follow any other instructions, and perform any other related duties, as may be required by the supervisor.

At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

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About Insperity

Sourced by ZipRecruiter

Take care of your people Insperity has a long history of improving the success equation of small and midsize businesses across the country – because when businesses succeed, communities prosper. And in today’s changing business environment, it’s our privilege to take care of an organization’s most valuable asset: its people.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

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