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Genai Developer Jobs in Chicago, IL (NOW HIRING)

AIToolboard

GenAI / NLP Engineer

Chicago, IL · On-site

$96.43 - $151.54/hr

/GenAI / NLP Engineer# GenAI / NLP EngineerPY DATA, INC.Chicago, USContractor## About the RoleGenAI / NLP Engineer MultiAgent AI Platforms (Network Planning)Hybrid Chicago, IL onsite 2 3 days per week ...

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Hiring Alert | Senior GenAI/Python Engineer Location: Chicago, IL (Remote) Employment Type: Full-Time Experience Required: 7-9 Years Visa Type: USC / GC Only Must-Have Skills: * Advanced Python ...

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Senior GenAI/Python Engineer Location: Remote (USA) Employment Type: Full-Time Visa Type: USC / GC Only ✅ Must-Have Qualifications: ✔ 7-9 years of overall IT experience with 5+ years of advanced ...

Tempus

GenAI Product Builder

Chicago, IL · Hybrid

$110K - $140K/yr

Strong software engineering skills (using Python, JavaScript or similar) and familiarity with APIs ... GenAI Product Builder plays a critical role in our mission: turning the promise of generative AI ...

Tempus

GenAI Product Builder

Chicago, IL · On-site

$110K - $140K/yr

Strong software engineering skills (using Python, JavaScript or similar) and familiarity with APIs ... GenAI Product Builder plays a critical role in our mission: turning the promise of generative AI ...

Compunnel

AI Engineering / GenAI Lead

Chicago, IL · On-site

$105K - $139K/yr

Job Summary We are looking for an experienced AI Engineering / Generative AI (GenAI) Lead to lead the design and development of production-grade enterprise AI solutions, with a strong focus on ...

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Genai Developer information

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How much do genai developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for genai developer in Chicago, IL is $54.43, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $66.63 per hour, depending on experience, location, and employer.

What is a GenAI developer?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What are some common challenges GenAI developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What are the key skills and qualifications needed to thrive as a GenAI developer, and why are they important?

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

How to become a GenAI developer?

To become a GenAI developer, you should gain expertise in machine learning, deep learning, and natural language processing, with a focus on generative models like GPT. Proficiency in programming languages such as Python, experience with frameworks like TensorFlow or PyTorch, and understanding of large language models are essential. Building a portfolio of projects and staying updated with AI research can also enhance your qualifications.

Is a Genai Developer a promising career?

A Genai Developer is a growing role focused on developing and implementing generative AI models, which are increasingly used across industries. The field requires skills in machine learning, programming, and AI frameworks, and offers strong job growth prospects due to expanding AI adoption. Continuous learning and staying updated with new tools are important for success in this career.
Genai Developer jobs near you
Infographic showing various Genai Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $113,218 per year, or $54.4 per hour.

GenAI / NLP Engineer

AIToolboard

Chicago, IL • On-site

$96.43 - $151.54/hr

Other

Posted 5 days ago

Job description

/GenAI / NLP Engineer# GenAI / NLP EngineerPY DATA, INC.Chicago, USContractor## About the RoleGenAI / NLP Engineer MultiAgent AI Platforms (Network Planning)Hybrid Chicago, IL onsite 2 3 days per week (approximately 5 6 days per month minimum)15 months contract +OverviewClient s Network Planning team within the Commercial Systems portfolio is launching a GenAI Enablement Initiative to enhance decision support, insight generation, and usability of planning data and models. This role will support the design and delivery of a scalable, cloud-based multi-agent GenAI platform integrated with client s enterprise AI/ML ecosystem (MARS).The successful candidate will contribute to building a supervisory chatbot and specialized AI agents that deliver insights, diagnostics, workflow guidance, and automated reporting for Network Planning stakeholders. This is a net-new role supporting a growing GenAI capability.Key ResponsibilitiesGenAI Platform & Architecture• Design and build an end-to-end, multi-agent GenAI architecture integrated with client s MARS platform, enterprise GenAI tooling, and existing ML infrastructure.• Develop a supervisory/orchestrator chatbot that routes user requests to specialized downstream agents.• Design modular, extensible AI agents to support evolving business use cases.• Ensure response traceability, accuracy, and adherence to Responsible AI, security, and governance standards.• Collaborate closely with Network Planning, MARS platform, Cloud Engineering, and Security teams.Required Skills & ExperienceMust-Haves• Experience architecting and building GenAI and NLP applications, ideally using multi-agent or agent-orchestrated patterns.• Hands-on experience integrating LLMs and GenAI solutions into production enterprise environments.• Proficiency in Python; Julia experience strongly preferred (or willingness to ramp quickly).• Experience working with existing enterprise AI/ML platforms (non-greenfield builds).• Strong problem-solving skills with the ability to work independently in ambiguous environments.Nice to Have• Background in machine learning or ML-driven applications.• Experience with cloud-based architectures (AWS preferred).• Familiarity with model diagnostics, explainability, or decision-support systems.Soft Skills & Expectations• Highly independent, driven, and proactive.• Strong communication skills, particularly the ability to explain GenAI concepts and outputs to non-technical stakeholders.• For senior candidates: serve as the primary GenAI thought leader, guiding design decisions and mentoring less experienced team members.### Apply for this PositionFill out the form below to apply for this roleLocationChicago, US #J-18808-Ljbffr

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