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Artificial Intelligence Software Developer Jobs in Chicago, IL

Reliance, Inc.

AI Software Engineer 1

Chicago, IL

$80K - $100K/yr

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Systems, or a related technical field required * Basic understanding of software development ...

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All JobsArtificial Intelligence Software Developer JobsArtificial Intelligence Software Developer Jobs in Chicago, IL

Artificial Intelligence Software Developer information

See Chicago, IL salary details

$49.5K

$115.3K

$171.1K

How much do artificial intelligence software developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for artificial intelligence software developer in Chicago, IL is $115,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $134,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

Artificial Intelligence Software Developer jobs near you
Infographic showing various Artificial Intelligence Software Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $115,308 per year, or $55.4 per hour.

Adjunct Faculty in Artificial Intelligence

Chicago, IL • On-site

DePaul University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about DePaul Universityexternal

Full-time, Part-time

Re-posted 3 days ago

Key responsibilities

  • Teach courses related to artificial intelligence, including machine learning, deep learning, natural language processing, reinforcement learning, robotics, and computer vision.

  • Design and deliver course content that covers core AI concepts and techniques.

  • Participate in the academic scheduling process and conduct classes as per the assigned quarterly schedule.

DePaul University rating

7.5

Company rating: 7.5 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

Job description

Description
DePaul's Jarvis College of Computing & Digital Media (CDM) is located in the heart of Chicago's Loop, the central business district of Chicago. Our students represent many different experiences, perspectives, and cultures, and the university strives to recruit and sustain a faculty community where all backgrounds are valued and supported. Part-time teaching positions are available throughout the academic year, including summer sessions. Academic course schedules fluctuate from quarter to quarter, and the college will work with selected individuals to determine a quarterly schedule. Courses are not guaranteed, however the college does its best to give ample notice about available courses. Applicants with expertise that matches course scheduling needs will be contacted for an interview.
The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx.
Qualifications
Minimum requirements include a master's degree in the discipline, or 18 semester/27 quarter hours of graduate work in the discipline, or an undergraduate degree with a minimum of five years demonstrated relevant professional experience. Exceptions may be considered with approval of the dean.
Application Instructions
The School of Computing offers a MS in Artificial Intelligence degree. At the end of the degree, students will be able to design and implement complex intelligent systems and integrate AI techniques into existing applications and processes. Students take courses in core AI concepts and techniques and explore relevant technical areas including natural language processing, big data systems, computer vision, image processing, robotics, and cybersecurity. We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.
Considerations:
Exceptions to standard rates may apply to courses with unique credit hours, supervision, labs, clinical/practicum courses, coaching, administrative tasks, and courses that are either over-enrolled or under-enrolled.
General Compensation/Benefits Statement:
DePaul University has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The salary offered to the selected candidate will be determined based on factors such as (but not limited to) the qualifications, education, experience, and training of the selected candidate, the scope and responsibilities of the position, departmental budget availability, internal salary equity considerations, and available market information.
DePaul University offers a variety of benefit options for qualified part-time employees. Further information regarding benefits can be found here: https://offices.depaul.edu/human-resources/benefits/part-time/Pages/default.aspx
About DePaul University's Academic Calendar:
Except for the College of Law, DePaul University operates on a quarter system. Classes in Autumn, Winter, and Spring quarters are 11 weeks in length (including finals week) and Summer courses, in two sessions, are typically 5 weeks in length. The College of Law operates on the semester system. Classes in the Fall and Spring semesters are 16 weeks in length (including finals week) and it offers a Summer Session of 7 weeks (including final exams).

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