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

AI Full Stack Engineer

Chicago, IL · Remote

$70 - $75/hr

AI Full Stack Engineer Primary Skills: MS Azure Role Description: The AI Full Stack Engineer must have 5+ years of experience. The Expertise and Skills You Bring: - Bachelor's degree in Engineering ...

As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on the C3 AI Platform, working directly with customers to design, develop, and deploy production ...

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... We build AI agents, copilots, integrations, and business applications that eliminate manual ...

Full-stack Engineer

Chicago, IL · On-site

$130K - $160K/yr

About Ocra Ocra is an AI-powered Revenue Management System (RMS) and Global Distribution System ... We're looking for a mid-level full-stack engineer who is energized by working in a small ...

Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL (Hybrid - 3 ... Engage in full-stack development, with a focus on Python for backend services and React for ...

Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL (Hybrid - 3 ... Engage in full-stack development, with a focus on Python for backend services and React for ...

Our Agentic Workforce Delivery Platform blends AI and human talent to help organizations scale ... To keep pace, we need a hands-on Full Stack Engineer who loves building scalable systems , shipping ...

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 ...

We are seeking a Full Stack Software Engineer to build and enhance the internal tools, applications ... Leverage AI coding tools (Claude, Codex, GitHub Copilot, Cursor, LLMs) to accelerate development ...

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Showing results 1-20

Full Stack Ai Engineer information

See Chicago, IL salary details

$45.8K

$138.8K

$196.2K

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

As of Jul 29, 2026, the average yearly pay for full stack ai engineer in Chicago, IL is $138,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $162,800.00 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.

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 are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

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.
What cities near Chicago, IL are hiring for Full Stack Ai Engineer jobs? Cities near Chicago, IL with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $138,833 per year, or $66.7 per hour.
Senior Full Stack Developer (.NET AI Focused)

Senior Full Stack Developer (.NET AI Focused)

Tech Tammina

Hoffman Estates, IL • On-site

Full-time

Posted 10 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