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Generative Ai Developer Jobs in Michigan (NOW HIRING)

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... generative AI tools. - Experience building applications, automations, internal tools, scripts ...

AO Engineer III

Pontiac, MI · On-site

$110 - $160/hr

United Wholesale Mortgage is hiring an AI Engineer III for a 100% on-site position in Pontiac, MI. Duties * Conduct research on cutting-edge techniques in the field of generative AI. * Collaborate ...

Posted today

Build and implement AI-enabled solutions including generative AI use cases for requirements ... DevOps, or similar. * Experience working with global teams and supporting adoption of new tools ...

You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps to continuously improve ... Strong programming experience in Python, including backend development, API design, automation, and ...

Java Developer

Dearborn, MI · On-site

$47 - $60.75/hr

Full-stack software engineering roles, involving the development of all software components ... Familiarity with Generative AI frameworks and tools such as LangChain, OpenAI or Azure OpenAI APIs ...

Java Developer

Dearborn, MI · On-site

$47 - $60.75/hr

Full-stack software engineering roles, involving the development of all software components ... Familiarity with Generative AI frameworks and tools such as LangChain, OpenAI or Azure OpenAI APIs ...

We are seeking a visionary and hands-on engineer to spearhead the quality assurance of groundbreaking AI-powered applications, machine learning systems, AI agents, and generative AI solutions. In ...

Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL * Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep ...

Lead Gen AI Engineer

Detroit, MI · On-site

$93K - $123K/yr

Lead Generative AI & Agent Engineer Long-term contract Location: Northville, MI (hybrid onsite) Key Requirements * Proven experience delivering multiple production-grade AI solutions * Deep expertise ...

Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL * Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep ...

Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps Required Qualifications: * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field

As the AI Application Engineer, you'll design and build production-grade user interfaces and ... Familiarity with LLMs, generative AI, AI agents, model outputs, RAG, or AI recommendation workflows

Showing results 21-40

Generative Ai Developer information

See Michigan salary details

$16

$39

$87

How much do generative ai developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for generative ai developer in Michigan is $39.47, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $47.79 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Michigan?

For Generative Ai Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Michigan look for?

The top searched job categories for Generative Ai Developer jobs in Michigan are:

What cities in Michigan are hiring for Generative Ai Developer jobs?

Cities in Michigan with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $82,104 per year, or $39.5 per hour.

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Company rating: 8.2 out of 10

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Job description

Are you passionate about building practical AI solutions that can be used in real business environments?

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical Communications.
This role is part of our Digital & IT organization and is focused on applying AI through hands-on software engineering, Python development, APIs, LLM-enabled solutions, workflow automation, and enterprise integrations. This is not a pure research or model-training role. We are looking for someone who is curious, hands-on, coachable, and excited to grow in enterprise AI engineering.

What will you do?


-  Build, test, implement, and support AI-enabled applications, tools, agents, automations, and integrations.
-  Develop Python-based solutions and work with APIs, JSON payloads, model integrations, and LLM-enabled workflows.
-  Support CorningGPT integrations, AI assistant tools, chatbot-style workflows, and internal AI capabilities.
-  Assist with MCP development, Databricks workflows, and Databricks Genie Spaces use cases.
-  Partner with technical team members and business stakeholders to understand requirements and translate them into working solutions.
-  Help create user-friendly applications and interfaces for AI agents and tools.
Perform testing, debugging, documentation, troubleshooting, and post-deployment support.
-  Contribute to continuous improvement by helping create reusable patterns, cleaner documentation, and more maintainable solutions.

What do you need to have?


-  Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical discipline.
-  1–3 years of relevant experience in software engineering, AI engineering, application development, automation, integration development, or related technical solution delivery.
-  Hands-on experience with Python.
-  Familiarity working with APIs, JSON payloads, structured data, integrations, or application logic.
-  Familiarity with LLM-based applications, chatbots, AI-assisted workflows, or generative AI tools.
-  Experience building applications, automations, internal tools, scripts, integrations, or technical projects.
-  Basic understanding of software development fundamentals such as debugging, testing, version control, documentation, and maintainable coding practices.
-  Ability to learn quickly and work with guidance from senior technical team members.
-  Strong communication and collaboration skills.
-  Advanced English communication skills.


What should we offer?


-  Opportunity to join a growing AI engineering team focused on practical enterprise AI solutions.
-  Exposure to modern AI technologies, LLM applications, agents, automation, chatbot/RAG solutions, and enterprise integrations.
-  A hybrid role based in Obispado, Monterrey, with most work expected to be remote and office presence as needed.
-  Opportunity to learn from senior engineers and grow into more advanced AI engineering responsibilities.
-  Career growth in AI engineering, application development, enterprise integrations, and AI platform enablement.


More about us


Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.Come break through with us.
Corning is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.


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