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Generative Ai Jobs in Chicago, IL (NOW HIRING)

Prophecy Technologies

Generative AI Engineer

Schaumburg, IL · On-site

$95K - $131K/yr

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 ...

TekCommands Inc

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine ...

Avant

Generative AI Product Manager

Chicago, IL · On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product, and innovation. This role is about more than just experimenting with AI tools-it's about scaling AI ...

Avant LLC

Generative AI Product Manager

Chicago, IL · On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product, and innovation. This role is about more than just experimenting with AI tools-it's about scaling AI ...

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

Key Responsibilities • Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models • Translate business use cases ...

Whiztek Corp

AI Engineer

Schaumburg, IL · On-site

Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid - 3 Days Onsite per Week) Long Term W2 Job Summary: We are seeking a highly motivated and adaptable AI ...

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills Data science; statistical modeling; machine learning; generative AI; agentic AI; NLP; LLMs; prompt engineering; RAG; autonomous decision frameworks; Python/R/SQL ...

Whiztek Corp

Gen AI Engineer (W2)

Schaumburg, IL · On-site

Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL - Hybrid - 3days/week onsite Duration: Long Term Contract - W2 only Job Summary: We are seeking a highly ...

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Generative Ai information

What is a generative AI?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What does a generative AI specialist do?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

What are the key skills and qualifications needed to thrive in the generative AI position?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

Is generative AI a career?

Generative AI is a growing field with roles such as AI engineer, research scientist, and data scientist focused on developing and improving AI models. Careers in this area typically require skills in machine learning, programming, and data analysis, and often involve working with tools like neural networks and deep learning frameworks.

What are the most commonly searched types of Generative Ai jobs in Chicago, IL?

The most popular types of Generative Ai jobs in Chicago, IL are:

What are popular job titles related to Generative Ai jobs in Chicago, IL?

For Generative Ai jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Generative Ai jobs in Chicago, IL look for?

The top searched job categories for Generative Ai jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Generative Ai jobs?

Cities near Chicago, IL with the most Generative Ai job openings:

Generative Ai jobs near you
Infographic showing various Generative Ai job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Generative AI Engineer

Prophecy Technologies

Schaumburg, IL • On-site

$95K - $131K/yr

Full-time

Posted 14 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.

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