ZipRecruiter

Log In

1

Genai Developer Jobs in Michigan (NOW HIRING)

FastTek

Software Engineer

Dearborn, MI · On-site

Software Engineer #1061556 * Employees in this job function are responsible for designing ... Experience deploying GenAI capabilities into enterprise applications (chatbots, document ...

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI · On-site

$99K - $232K/yr

... DevOps pipelines with cloud services - Enhancing cloud resources for cost and performance Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000.

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform ... Experience building Internal Developer Platforms (IDPs). * GCP Professional Cloud Database Engineer ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform ... Experience building Internal Developer Platforms (IDPs). * GCP Professional Cloud Database Engineer ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform ... Experience building Internal Developer Platforms (IDPs). * GCP Professional Cloud Database Engineer ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform ... Experience building Internal Developer Platforms (IDPs). * GCP Professional Cloud Database Engineer ...

Pwc

GenAI Python Systems Engineer-Director

Detroit, MI · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Deloitte

Delivery Management Engineer III

Detroit, MI · Hybrid

You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific ...

Pwc

GenAI Python Systems Engineer-Director

Grand Rapids, MI · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Deloitte

Delivery Management Engineer II

Detroit, MI · Hybrid

$55.25 - $73.75/hr

You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific ...

previous page

Showing results 41-60

All JobsGenai Developer JobsGenai Developer Jobs in Michigan

Genai Developer information

See Michigan salary details

$14

$46

$71

How much do genai developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for genai developer in Michigan is $46.05, according to ZipRecruiter salary data. Most workers in this role earn between $35.19 and $56.35 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 Michigan as of August 2026, with employment types broken down into 77% Full Time, 6% Part Time, 2% Temporary, 14% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $95,792 per year, or $46.1 per hour.

Software Engineer

FastTek

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Software Engineer #1061556
Job Description:
  • Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs.
  • They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements.
  • Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.
 
Key Responsibilities:
  • Engage with customers to deeply understand their use-cases, pain points, and requirements, showcasing empathy and advocating for user-centric software solutions
  • Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, methodologies (like agile) and technologies
  • Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, etc.
  • Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application
  • Collaborate with cross functional teams like product owners, designers, architects etc.
  • Define and implement software test strategy, guidelines, policies and processes in line with organization vision, industry regulations and market best practices.
  • Work on continuously improving performance and optimizing the application and implement new technologies to maximize development efficiency
  • Familiar with programming practices, such as test-driven development, continuous integration, and continuous delivery
  • Support security practices to safeguard user data including encryption and anonymization.
  • Create user-friendly and interactive interfaces
  • Develop and maintain back-end applications like APIs and microservices using server-side languages
  • Evaluate and incorporate emerging technologies and capabilities to deliver their solutions, and are monitoring and participating in solutions for new stack layers, often involving industry collaboration
 
Skills Required:
  • Software Development
  • Spring Boot
  • REST APIs
  • Java
  • Machine Learning
  • AWS
  • GCP
  • COBOL
 
Skills Preferred:
  • Product Management
  • J2EE
  • Artificial Intelligence & Expert Systems
  • Jenkins
 
Experience Required:
  • Java Development (KEY) 15+ years of hands-on experience in Java (Java 8/11/17+), including Core Java, Spring Boot, Spring Framework, and RESTful API design/development. Strong understanding of object-oriented design, microservices architecture, and enterprise integration patterns.
  • Experience with build/CI-CD tools (Maven/Gradle, Jenkins, Git) and unit testing frameworks (JUnit, Mockito).
  • Ability to design, develop, and maintain Java-based services that interface with legacy systems (e.g., via APIs, message queues, or batch integration).
  • Demonstrated past experience modernizing legacy applications (mainframe, monolithic, or on-prem systems) into cloud-native architectures using Java.
  • Hands-on experience re-platforming/re-architecting legacy Java or COBOL-based systems into containerized microservices (Docker, Kubernetes).
  • Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native patterns (12-factor apps, event-driven architecture, serverless where applicable).
  • Familiarity with strangler-fig pattern, API-led integration, or other legacy-to-cloud migration strategies.
  • Ability to assess legacy application portfolios and recommend modernization roadmaps (rehost, replatform, refactor, rearchitect).
 
Experience Preferred:
  • Practical experience building or integrating Generative AI solutions (e.g., LLM-based applications, RAG pipelines, prompt engineering, embeddings/vector databases).
  • Familiarity with GenAI frameworks/tools such as LangChain, OpenAI/Azure OpenAI APIs, Hugging Face, or similar.
  • Experience deploying GenAI capabilities into enterprise applications (chatbots, document summarization, code assistance, data extraction, etc.).
  • Understanding of responsible AI practices — data privacy, model governance, and output validation in enterprise contexts.
  • Experience leveraging Gen AI to accelerate cloud-native modernization efforts (e.g., AI-assisted code conversion/refactoring, legacy code comprehension, automated test generation, documentation of undocumented legacy logic).
  • Familiarity with using GenAI tools to analyze legacy codebases and assist in re-architecting them into cloud-native Java solutions.
 
Education Required:
  • Bachelor's Degree
 
Education Preferred:
  • Certification Program
 
Additional Information:
  • Program Management: Lead and manage cloud migration projects from initiation through to completion, ensuring timely delivery, adherence to scope, and budget constraints.
  • Develop and manage detailed migration plans, including timelines, resource allocation, and risk management strategies.
  • Oversee the assessment, planning, and execution of application migrations, including infrastructure, data, and application layers.
  • Provide technical guidance on cloud architecture, security, and performance best practices.
  • Collaborate closely with architects, engineers, product owners, and business stakeholders to support the execution of our PLM cloud migration strategy.
  • Troubleshoot and resolve migration-related issues, working with technical teams to identify and implement solutions.
  • Stakeholder Management: Serve as the primary contact for PDOs/ Skill Team SPCOs, providing regular updates on migration progress, risks, and issues.
  • Collaborate with business units to understand their requirements and ensure alignment with business goals.
  • Risk and Compliance: Must provide deep technical expertise in the integration of PLM systems with other enterprise applications, such as ERP, CRM, and manufacturing systems.
  • Identify potential risks and develop strategies to mitigate challenges during the migration process.
  • Ensure migrations comply with organizational policies, industry standards, and regulatory requirements.
  • Conduct post-migration reviews to assess success, document lessons learned and recommend improvements for future projects.
  • Continuous Improvement: Evaluate and enhance migration processes, tools, and methodologies to improve efficiency and effectiveness. Stay updated with GCP updates, industry trends, and emerging technologies to incorporate best practices into migration strategies. Share knowledge and mentor team members to build internal expertise and capabilities.
 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match
 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.