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Ai Application Developer Jobs in Michigan (NOW HIRING)

... GenAI application development and performance evaluation. * Working knowledge of common AI/ML ... Strong DevOps and CI/CD tools * Proficiency in cloud-based architecture and experience with ...

AI Application Engineer

Grand Rapids, MI · On-site

$133K - $204K/yr

... GenAI application development and performance evaluation. * Working knowledge of common AI/ML ... Strong DevOps and CI/CD tools * Proficiency in cloud-based architecture and experience with ...

Sr. Mainframe Application Developer

Lansing, MI · On-site

$49.75 - $64/hr

Teradata delivers real business value with AI. What You'll Do Teradata is looking for a skilled ... Profile system, network, and application performance using tools such as SDSF and SMF * Collect ...

As an AI-focused Software Engineer in Marketing Enterprise Analytics, you will architect systems ... AI application observability. * Experience with vector search, hybrid retrieval architectures, or ...

AI Software Engineer

Dearborn, MI · On-site

$100K - $192K/yr

As an AI-focused Software Engineer in Marketing Enterprise Analytics, you will architect systems ... AI application observability. * Experience with vector search, hybrid retrieval architectures, or ...

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Ai Application Developer information

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How much do ai application developer jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for ai application developer in Michigan is $45.88, according to ZipRecruiter salary data. Most workers in this role earn between $36.88 and $52.79 per hour, depending on experience, location, and employer.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What is the salary of an AI developer?

The salary of an AI application developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

How much does an AI app developer make?

The average salary for an AI application developer ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI application developer or AI research director, often offering top-tier compensation due to expertise, experience, and the complexity of projects. These roles may require advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch, along with relevant certifications and a strong professional track record.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What are the key skills and qualifications needed to thrive as an AI Application Developer, and why are they important?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Michigan? For Ai Application Developer jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Ai Application Developer job openings in Michigan as of June 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $95,431 per year, or $45.9 per hour.

AI Application Engineer

Kiongroup

Grand Rapids, MI

$133K - $204K/yr

Full-time

Posted 20 days ago


Job description

At KION, we are leading the charge in intralogistics and warehouse automation by harnessing the power of AI/ML, optimization algorithms, and cutting-edge tools such as agentic AI and GenAI. Our mission is to develop real-time decision-making engines that optimize labor, equipment, and processes, enabling our business to achieve unparalleled operational efficiency and decision making.
We are seeking an Artificial Intelligence (AI) Engineer to design and develop agentic AI applications to solve real world business challenges and bring those innovations to production. This role requires strong engineering skills, architectural and design expertise, hands-on coding capabilities, and a deep understanding of AI/ML fundamentals and domain challenges. As our models integrate with KION's data and software ecosystem, this position requires excellence in software engineering practices and large-scale system integration.We offer:
  • Career Development
  • Competitive Compensation and Benefits
  • Pay Transparency
  • Global Opportunities

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $133,125 - $204,125 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:

What You Will do in This Role:

  • Design and implement scalable, production-grade AI/ML solutions based on AI use case requirements from internal customers.
  • Own agentic AI / ML system lifecycle from design to deployment, monitoring, and continuous improvement.
  • Build and maintain software services to serve AI agents / ML models and integrate into KION's software data ecosystem.
  • Write clean, maintainable, and high-quality code, ensuring alignment to industry best practices.
  • Develop and enforce best practices in system design, software architecture, API design and coding standards and security
  • Collaborate with data engineers and cloud engineers to establish AI/ML development environments for efficient model training, evaluation, streamline the model deployment process, including dependency and version management, and utilize cloud platforms (GCP preferred) when possible.
  • Collaborate with business and IT to develop GenAI based applications, supporting RAG, multi-agent, multimodal systems leveraging modern frameworks.
  • Build and maintain robust CI/CD workflows for AI/ML applications.
  • Partner with AI enablement teams across the organization as well as KION IT Cloud Infrastructure, AI Platform, and security and data privacy teams to ensure AI/ML capabilities align with IT framework and guidelines within KION.

What We are Looking for:

  • BS/MS in Computer Science, Software Engineering, AI/ML, or a related field.
  • 3+ years of experience in AI / ML engineering, micro service and API development, or related fields.
  • Proven experience deploying and supporting agentic AI / ML models into production systems with SLA.
  • Strong experience with cloud platforms (preferably GCP) and related tools: Docker, Kubernetes, edge computing.
  • Experience working in agile development environments, delivering incremental enhancements that drive customer value.
  • Deep understanding of APIs, software integration, and system architecture in enterprise-scale environments.
  • Hands-on experience with GenAI application development and performance evaluation.
  • Working knowledge of common AI/ML algorithms, and LLMs (Large Language Models)
  • Proficiency in Python (preferred) or other general-purpose programming languages.
  • Familiarity with orchestration tools: LangGraph, Airflow, Kubeflow, etc.
  • Strong DevOps and CI/CD tools
  • Proficiency in cloud-based architecture and experience with infrastructure automation (Terraform, Kubernetes).

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