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Gen Ai Developer Jobs in Michigan (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Detroit, MI

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

They automate and optimize the end-to-end ML and Gen AI model lifecycle using expertise in experimental methodologies, statistics, prompt engineering, and coding for tool building and analysis.

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

... Engineering and R&D department. The Advanced Robotics team is focused on developing novel ... models, Gen-AI). • Create representative case study to understand solution capabilities and ...

IPS Technology Services, LLC

Java Developer

Dearborn, MI · On-site

$47 - $60.75/hr

Software Engineer (4) - Premium Senior Engineer Employees in this job function are responsible for ... Experience leveraging Gen AI to accelerate cloud-native modernization efforts (e.g., AI-assisted ...

Munich Re

Data Scientist, AI

Ann Arbor, MI · On-site +1

... Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy models and verify system performance, and monitor models post ...

Patton Labs Inc.

Java Architect (Cloud) - W2 only

Dearborn, MI · On-site

$58 - $78.25/hr

Full-stack software engineering roles, who can develop all components of software including user ... Experience leveraging Gen AI to accelerate cloud-native modernization efforts (e.g., AI-assisted ...

TechCollect

Developer

Rochester, MI · On-site

Experience with AI technologies, including AI Gen, prompt engineering, and AI agents, is highly preferred. * Strong understanding of software development lifecycle (SDLC) and agile methodologies.

FastTek

Software Engineer

Dearborn, MI · On-site

Software Engineer #1061556 * Employees in this job function are responsible for designing ... Experience leveraging Gen AI to accelerate cloud-native modernization efforts (e.g., AI-assisted ...

TechCollect

Developer

Rochester, MI · On-site

Preferred : • Experience with AI technologies, including AI Gen, prompt engineering, and AI agents, is highly preferred. • Familiarity with cloud infrastructure and version control systems (e.g ...

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All JobsGen Ai Developer JobsGen Ai Developer Jobs in Michigan

Gen Ai Developer information

See Michigan salary details

$16

$39

$87

How much do gen ai developer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for gen 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 Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

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

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

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

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for roles in this field.

What is the salary of a Gen AI developer?

The salary of a Gen AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, deep learning, and AI frameworks like TensorFlow or PyTorch tend to earn higher salaries.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing across industries, making it a promising career with opportunities for advancement and specialization.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.
What are popular job titles related to Gen Ai Developer jobs in Michigan? For Gen Ai Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Gen Ai Developer jobs in Michigan look for? The top searched job categories for Gen Ai Developer jobs in Michigan are:
What cities in Michigan are hiring for Gen Ai Developer jobs? Cities in Michigan with the most Gen Ai Developer job openings:
Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Michigan as of July 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $82,104 per year, or $39.5 per hour.

GEN AI and Agentic AI developer- Senior

Spruce Infotech

Dearborn, MI • On-site

$50.50 - $66.75/hr

Contractor

Re-posted 13 days ago

Job description

Build and operationalize enterprise grade LLM and agentic AI solutions aligned with the Client PD EAT standard, delivering scalable, measurable, and compliant AI services.
Key Responsibilities
• Develop and productionize LLM, RAG, and multi agent solutions using approved client patterns
• Define evaluation metrics (quality, latency, cost, adoption) and publish KPI dashboards
• Enable data grounding pipelines in collaboration with data engineers
• Support interoperability across applications (MCP) and enterprise APIs
• Ensure security, compliance, and production readiness
Key Skills
• Python, ML/NLP, LLMs, embeddings, RAG, evaluations
• Experience with multi agent frameworks and cloud deployments preferred

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