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Ai Application Developer Jobs in Michigan (NOW HIRING)

PS-Application Developer III Location: Remote (Detroit, MI) * Work closely with clients, business ... Experience utilizing AI-assisted development tools (e.g., GitHub Copilot) * Solid working knowledge ...

Application Developer (W-2 Contract - No Agency candidates will be considered) 100% remote ... Experience utilizing AI-assisted development tools (e.g., GitHub Copilot) * Solid working knowledge ...

Application Developer

Grand Rapids, MI · On-site

$89.11K - $101.35K/yr

Will work with third party software API's where applicable, and leverage AI-powered development ... Thorough working knowledge of programming logic and syntax, client server and internet systems ...

Application Developer

Grand Rapids, MI · On-site

$89.11K - $101.35K/yr

Will work with third party software API's where applicable, and leverage AI-powered development ... Thorough working knowledge of programming logic and syntax, client server and internet systems ...

Be Seen First

... developers to define, design, and launch new features * Ensure application performance, quality ... Use of AI tools during the technical assessment is strictly prohibited. Benefits * Flexible ...

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Ai Application Developer information

See Michigan salary details

$14

$45

$73

How much do ai application developer jobs pay per hour?

As of May 30, 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 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 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 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:
What job categories do people searching Ai Application Developer jobs in Michigan look for? The top searched job categories for Ai Application Developer jobs in Michigan are:
Infographic showing various Ai Application Developer job openings in Michigan as of May 2026, with employment types broken down into 57% Full Time, 20% Part Time, 3% Temporary, and 20% Contract. Highlights an 29% Physical, 7% Hybrid, and 64% Remote job distribution, with an average salary of $95,431 per year, or $45.9 per hour.
Application Developer AI/ML (W2 Position)

Application Developer AI/ML (W2 Position)

Megan soft Inc

Dearborn, MI • On-site

Other

Posted 15 days ago


Job description

We have a job opportunity of a Role Application Developer AI/ML with given job description on W2. Please forward updated profile to praveen@megansoft.com or +1(248) 266-0910.

Role : Application Developer AI/ML (W2 Position)

Location : Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 8+ Years

Experience Required:

  • 5+ years of experience developing software with Java, JavaScript, React, Angular, Spring Boot, SQL, Postgres and AI/ML.
  • Testing using test-driven development; and designing, developing and delivering applications using continuous integration and continuous deployment (CI/CD).
  • 2+ years of experience: developing machine learning models using open source deep learning frameworks; and using Java, Python, Jenkins, Hadoop, BigQuery, Kafka, REST APIs, Agile development, and Kubernetes.
  • Experience of building AI and ML Platforms; and using machine learning tools and platforms for data management and models development and deployment.

Thanks & Regards

Praveen

Megan Soft, Inc.

Direct No: +1(248) 266-0910

E Mail: praveen@megansoft.com