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Full Stack Ai Engineer Jobs in Gurnee, IL (NOW HIRING)

The ideal candidate combines strong full stack development capabilities with experience leveraging ... Design and develop AI-driven applications, services, and APIs using modern programming languages ...

We're creating a faster, smarter, AI-enabled way to go from design to production, backed by global ... of relevant full-stack engineering experience * Strong proficiency in Node.js, JavaScript ...

Java Full Stack Developer

Northbrook, IL

$53.25 - $68.75/hr

Java Full Stack Developer (with experience on Agile XP, UI- Angular.JS or React.JS, IntelliJ -IDE, Github, Spring Framework, MongoDB, Jenkins, docker toolbox & node.JS) Job Location : Northbrook ...

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Full Stack Ai Engineer information

See Gurnee, IL salary details

$42.7K

$129.4K

$182.8K

How much do full stack ai engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for full stack ai engineer in Gurnee, IL is $129,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $151,700.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What cities near Gurnee, IL are hiring for Full Stack Ai Engineer jobs?

Cities near Gurnee, IL with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in Gurnee, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,355 per year, or $62.2 per hour.

Full Stack Developer 3 - AI

Guarantee Trust Life Insurance Group

Glenview, IL โ€ข On-site

$140 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Job Details

Job Location: Glenview, IL 60025

Position Type: Full Time

Salary Range: $140,000.00 - $160,000.00 Salary/year

Guarantee Trust Life Insurance Company (GTL) is currently seeking a Full Stack Developer 3 - AI to join our team!

Since 1936, GTL has offered cutting-edge insurance solutions and personalized service for our policyholders and distributors, while supporting personal growth and civic involvement from our employees. We're seeking candidates who are looking for meaningful work, who want to invest in their growth, and contribute to a company built on timeless virtues and best business practices.

This position is required to work on-site in our Chicagoland (Glenview, IL) office most days. Everyone receives 3 flexible remote days per month. And, we offer half-day Fridays - every Friday!

If you have the hands-on experience described below, this is an awesome time to join Guarantee Trust. We are investing in AI and new technologies as we modernize platforms and enhance the way we interact with our customers. This role will be at the forefront of that change and you'll help shape the vision of our future.

When you join Guarantee Trust, you are joining a company that actively participates in and supports our community. We are passionate about personal development, giving back, and supporting the Chicagoland area. Team members are encouraged to participate in self-development projects and volunteer opportunities each year and are financially recognized for their participation. Guarantee Trust also sponsors the Joffrey Ballet, the Chicago Bears, and the Chicago Blackhawks. Employees have access to complementary and/or discounted tickets periodically throughout the year.

Responsibilities
  • Develop state-of-the art machine learning models and leverage LLMs to solve real-world problems.
  • Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
  • Develop end-to-end pipelines and operationalize the end-to-end orchestration of models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
  • Develop solutions to successfully implement the large AI/ML initiatives of the organization.
  • Assist project management teams and product owners in defining problem statements, execution roadmap, and incremental milestones.
  • Collaborate with others to identify impactful projects, influence key decisions with data, and ensure effective use of AI based technologies.
  • Work autonomously to design, develop and deploy solutions.
  • Collaborate with data owners to analyze large datasets to uncover insights and trends that inform product development and personalized customer experiences.
  • Continuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirements.
  • Stay up to date with the latest advancements in machine learning, AI, data science and engineering, and apply this knowledge to improve our products and services.
Qualifications
  • Have a minimum of 4 years of experience in software development.
  • Possess a degree in Computer Science, Data Science, or similar, or equivalent experience.
  • Possess professional working experience with LLMs, RAG, NLP, ML solutions.
  • Having demonstrated a solid foundation in data structures, algorithms, and software engineering principles, with a track record of developing high-quality, maintainable code.
  • Excellent problem-solving skills, while exhibiting high enthusiasm to tackle complex challenges in AI development and deployment.
  • Prior experience leveraging Azure AI Foundry and machine learning services to deploy, monitor, and maintain solutions.
  • Strong software engineering foundation with a commitment to delivering high-quality, maintainable, and well-tested code.
  • Proven ability to stay updated with state-of-the-art techniques through continuous research and application.
  • Strong ability to adapt quickly to evolving project scopes.
  • Passionate about creating intuitive technology solutions and a continuous desire to learn and take on new challenges.
Benefits
  • Medical
  • Health Savings Account (including employer contribution)
  • Dental
  • Vision
  • Basic Life Insurance (full premium paid by employer)
  • Voluntary Employee, Spouse and Child Life Insurance
  • Short-Term and Long-Term Disability
  • Paid Holidays
  • Paid time off including vacation, personal days, sick time and Flex Fridays
  • 401(k), 401(k) Match and Profit-Sharing Retirement Plan

The pay range provided is not a guarantee of compensation. The range reflects potential pay for the job grade for this role at the time of this posting. Compensation will depend on several factors such as specific competencies, relevant education and experience, qualifications, and industry certifications. Compensation ranges are subject to change and may be higher or lower than the range described above.

We invite you to learn more about Guarantee Trust Life by visiting our website: www.gtlic.com

Stay connected with GTL News Via:
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  • https://twitter.com/GTLNews
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