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Senior Generative Ai Engineer Jobs in Michigan (NOW HIRING)

Midlevel AI Developer

Ann Arbor, MI ยท On-site

$50 - $55/hr

As an AI Engineer, you will design, develop, and deploy AI-powered applications and services that ... Build and integrate Generative AI solutions using Large Language Models (LLMs). Develop AI agents ...

... generative AI tools. - Experience building applications, automations, internal tools, scripts ... guidance from senior technical team members. - Strong communication and collaboration skills ...

AI engineer

Dearborn, MI ยท On-site

$89K - $122K/yr

AI engineer Location: Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time ... Experience with Generative AI - LLM and building frontend with React / Chainlit / Streamlit.

Role:: AI Engineer/ Developer Location: Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate ... Rapidly prototype applications that demonstrate new capabilities in LLMs or generative AI

Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building ... As a senior member of our AI engineering team, you'll provide technical leadership, mentor ...

AO Engineer III

Pontiac, MI ยท 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 ...

Sr AI Platform Engineer

Dearborn, MI ยท On-site

$51 - $65.50/hr

Job#: 3047770 Role: Sr AI Platform Engineer Location: Hybrid Duration: Long-Term Contract Rate ... Generative AI * Agentic AI Frameworks * Retrieval-Augmented Generation (RAG) * SQL * REST APIs

New

AI Engineer

Dearborn, MI ยท On-site

$61 - $66/hr

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

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Senior Generative Ai Engineer information

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

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

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Michigan?

The most popular types of Generative Ai Engineer jobs in Michigan are:

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

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

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

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

What cities in Michigan are hiring for Senior Generative Ai Engineer jobs?

Cities in Michigan with the most Senior Generative Ai Engineer job openings:

Infographic showing various Senior Generative Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Mid-Level AI Engineer / AI Developer

Ann Arbor, MI โ€ข On-site

Apex Systems
IT Servicesย โ€ขย 1 - 5K employees

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago


Job description

Job#: 3041033
Job Description:
Mid-Level AI Engineer / AI Developer
Position Summary
We are seeking a Mid-Level AI Engineer to design, develop, deploy, and support AI-powered applications and services that deliver business value at scale. This role works closely with software engineers, product managers, architects, data teams, and business stakeholders to build enterprise-grade AI solutions using modern machine learning techniques, generative AI platforms, agent frameworks, and cloud-native software engineering practices.
Experience Level
Professional Experience
  • 3-6 years of software engineering or application development experience.
  • 2+ years of hands-on experience delivering AI, machine learning, or Generative AI solutions.

Key Responsibilities
AI Application Development
  • Design, develop, test, deploy, and maintain AI-enabled applications and services.
  • Build and integrate Generative AI solutions using Large Language Models (LLMs) and foundation models.
  • Develop AI-powered copilots, assistants, conversational experiences, and enterprise automation solutions.
  • Engineer scalable AI workflows that leverage prompt orchestration, tool usage, and agent-based interactions.
  • Translate business requirements into secure, reliable, and maintainable technical solutions.

Generative AI & Agent Engineering
  • Develop AI agents, tools, workflows, and orchestration frameworks.
  • Design and implement Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge retrieval solutions.
  • Build and maintain MCP (Model Context Protocol) integrations, tool-calling frameworks, and multi-agent systems.
  • Create and optimize prompts, system instructions, and evaluation processes to improve AI performance and reliability.
  • Evaluate model behavior and implement strategies for improving response quality, grounding, and accuracy.

Software Engineering & Platform Development
  • Build APIs, microservices, and backend services that support AI workloads.
  • Develop reusable components and services that enable scalable AI capabilities across the organization.
  • Apply software engineering best practices including code reviews, testing, documentation, and version control.
  • Participate in architectural design and technical decision-making for AI solutions and platforms.
  • Ensure AI services meet performance, scalability, security, and availability requirements.

AI Operations & Optimization
  • Evaluate, benchmark, and optimize AI models for quality, latency, reliability, and cost efficiency.
  • Implement automated testing, monitoring, logging, and observability for AI applications.
  • Support AI systems in production environments and participate in troubleshooting, incident response, and root cause analysis.
  • Monitor application performance and implement continuous improvements based on usage and operational insights.
  • Establish evaluation frameworks and performance benchmarks for AI systems.

Governance, Security & Compliance
  • Implement responsible AI practices and enterprise governance requirements.
  • Ensure AI solutions comply with security, privacy, and regulatory requirements.
  • Apply guardrails, content controls, identity management, and access controls where appropriate.
  • Collaborate with security, compliance, and architecture teams to mitigate risks associated with AI deployments.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 3-6 years of software development experience.
  • Minimum 2 years of experience developing AI, machine learning, or Generative AI solutions.
  • Strong programming skills in one or more of the following:
    • Python
    • Java
    • C#
    • JavaScript / TypeScript
  • Experience designing and developing RESTful APIs and distributed services.
  • Experience working with cloud platforms including:
    • Microsoft Azure
    • Amazon Web Services (AWS)
    • Google Cloud Platform (Google Cloud Platform)
  • Solid understanding of software engineering fundamentals, including:
    • Object-oriented design
    • Design patterns
    • Automated testing
    • CI/CD pipelines
    • Application security
    • Monitoring and observability
  • Experience working within Agile software development environments.
  • Strong problem-solving, analytical, and communication skills.

Preferred Qualifications
  • Experience working with industry-leading AI platforms and models, including:
    • OpenAI
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
  • Experience developing:
    • AI agents
    • Agent orchestration platforms
    • MCP-based integrations
    • Tool-calling frameworks
    • Multi-agent workflows
  • Experience implementing RAG architectures and enterprise knowledge search solutions.
  • Familiarity with vector databases, embeddings, semantic search, and knowledge retrieval systems.
  • Experience with prompt engineering, prompt evaluation, and AI benchmarking frameworks.
  • Experience with containerization and orchestration technologies, including:
    • Docker
    • Kubernetes
    • Cloud Run
  • Experience deploying and operating cloud-native applications.
  • Knowledge of Responsible AI, AI governance, and enterprise AI risk management practices.

EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.