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

Generative AI Engineer

Schaumburg, IL ยท 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 ...

Sr. Full Stack Engineer

Mundelein, IL ยท 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 ...

Full Stack Developer, Chicago, IL Hiring a Full Stack Developer now! Urgent need! Looking for multiple experienced Full Stack Java Developers to work for a renowned global organization.

1 - Sr Full Stack Developer @ CHICAGO Experience * 8-10 years Technical Skills * Java Development ... Experience working with AI-assisted coding tools (e.g., GHCP) * Self-driven with strong ownership ...

Staff Full Stack Engineer

Chicago, IL ยท On-site

$152K - $203K/yr

Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M ... Lead the integration of AI into how we build and operate the web stack - from developer tooling to ...

Full Stack Engineer

Chicago, IL ยท On-site

$160 - $190/hr

Implement and integrate AI/LLM-powered workflows (e.g., RAG, agentic workflows, orchestration ... Work across our agentic platform stack to connect services, tools, and data sources into reliable ...

New

Staff Full Stack Engineer

Chicago, IL ยท On-site

$130 - $170/hr

Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M ... Lead the integration of AI into how we build and operate the web stack -- from developer tooling to ...

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup dedicated to revolutionizing the industry through innovative technologies? Our client, National ...

Full Stack Developer

Chicago, IL ยท Remote

$35 - $65/hr

As a Full Stack Developer, you will work collaboratively with cross-functional teams, including software engineers, project managers, and architects, to ensure seamless integration of front-end and ...

Job#: 3040384 Full Stack Engineer (Backend-Focused) - Full Stack Engineer Overview We're supporting ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Showing results 41-60

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 Aug 20, 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.

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 job categories do people searching Full Stack Ai Engineer jobs in Chicago, IL look for?

The top searched job categories for Full Stack Ai Engineer jobs in Chicago, IL are:

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 August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $138,833 per year, or $66.7 per hour.

Generative AI Engineer

Prophecy Technologies

Schaumburg, IL โ€ข On-site

$95K - $131K/yr

Full-time

Posted 13 days ago


Job description

Role Overview:
We are seeking a highly motivated and adaptable AI Engineer to join an innovative team. The ideal candidate will possess a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions. This role is crucial for migrating and enhancing AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents in a fast-paced environment.
Key Responsibilities:
  • Develop, maintain, and enhance existing applications utilizing Generative AI and traditional Machine Learning.
  • Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
  • Design, create, and deploy intelligent agents to automate and optimize processes.
  • Collaborate with stakeholders to translate business requirements into technical specifications for AI engineering projects.
  • Conduct experiments, implement new technologies, and contribute to the rapid evolution of AI capabilities.
  • Lead the migration of existing projects, including those with agents and LLMs, to the Google Cloud Platform (GCP) environment.
  • Engage in full-stack development, focusing on Python for backend services and React for frontend interfaces.
  • Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.

Required Skills:
  • Strong proficiency in Python for backend development and machine learning.
  • Solid experience with React for frontend development.
  • Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
  • Hands-on experience with GCP AI/ML services, including BigQuery, Google SQL, and other GCP technologies and APIs.
  • Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems.
  • Ability to stay up to date with new and upcoming technologies around AI development (e.g., Agentic RAG).
  • Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
  • Experience in taking over existing AI/ML applications from other teams.
  • Ability to estimate high-level cost of usage in GCP for applications hosted/deployed.
  • Familiarity with functional and non-functional testing of AI/ML applications and operationalizing them in production.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role.

Preferred Skills:
  • Familiarity with Amazon Web Services (AWS).
  • Knowledge of LLM models trending in the industry.
  • A portfolio of projects demonstrating expertise in AI and full-stack development.