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

HHAeXchange

Full Stack Engineer

Mundelein, IL · Remote

$80K - $120K/yr

We're looking for a Full Stack Engineer who's eager to grow fast, think big, and build products ... Integrate Gen AI Innovations: Incorporate generative AI into our agency management software ...

DataDelivers LLC

Full Stack Engineer

Schaumburg, IL · On-site

$115K - $130K/yr

Full Stack Engineer Product Strategy & Technology Team (PST) Reports to: Director of Product Development. Location: Schaumburg IL Hybrid schedule (in office Monday, Tuesday, Thursday). The Full Stack ...

Datadelivers

Full Stack Engineer

Hoffman Estates, IL · On-site

$80 - $110/hr

Full Stack Engineer Product Strategy & Technology Team (PST) Reports to: Director of Product Development. Location: Schaumburg IL Hybrid schedule (in office Monday, Tuesday, Thursday). The Full Stack ...

DataDelivers LLC

Full Stack Engineer

Schaumburg, IL · On-site

$115K - $130K/yr

The Full Stack Engineer works alongside other developers on the Product Strategy & Technology (PST) team to build, maintain, and improve DataDelivers' core CDP product. This role owns feature ...

Prophecy Technologies

Generative AI Engineer

Schaumburg, IL · On-site

$95K - $131K/yr

We are seeking a highly motivated and adaptable AI Engineer to join an innovative team. The ideal ... Engage in full-stack development, focusing on Python for backend services and React for frontend ...

HHAeXchange

Sr. Full Stack Engineer

Mundelein, IL · Remote

$140K - $160K/yr

We're looking for a Sr. Full Stack Engineer who's eager to think big and build products that make a ... Integrate Gen AI Innovations: Incorporate generative AI into our agency management software ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Gurnee, IL

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 Aug 23, 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:

Full Stack Ai Engineer jobs near you
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.

Senior Full Stack Developer (.NET AI Focused)

Tech Tammina LLC

Hoffman Estates, IL • On-site

Contractor

Re-posted 5 days ago

Job description

Role: Senior Full Stack Developer (.NET AI Focused)

Location: Hoffman Estates, IL (Hybrid)

Duration: 3-6 months

Rate: Market

Required Qualifications

  • Strong full-stack development experience (.NET C# + ReactJS)
  • Demonstrated advanced proficiency with GitHub Copilot in enterprise development environments
  • Experience using AI tools for code optimization, debugging, and refactoring
  • Experience working within containerized environments (Kubernetes)
  • Strong understanding of distributed systems and event-driven architectures

Core Responsibilities

  • Lead AI-assisted refactoring of .NET C# microservices
  • Develop and enhance ReactJS front-end components aligned with backend improvements
  • Leverage GitHub Copilot (advanced usage required) and Claude Code to accelerate development tasks
  • Evaluate AI-generated code for quality, security, and architectural alignment
  • Collaborate with QA (automation with AI) and DevOps/Infrastructure (Kubernetes, Kafka) resources
  • Conduct performance benchmarking and outcome validation
  • Identify opportunities to apply AI to improve existing development workflows
  • Troubleshoot complex distributed system issues across services and infrastructure

Technical Environment

  • .NET C# Microservices Architecture
  • ReactJS
  • On-Premises Kubernetes (K8S)
  • Kafka
  • PostgreSQL
  • Redis
  • Apache Druid
  • ELK Stack
  • AI Coding Tools: GitHub Copilot (critical), Claude Code

Preferred Qualifications

  • Experience designing AI-assisted development workflows
  • Background supporting infrastructure modernization initiatives
  • Exposure to automation frameworks utilizing AI