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Al Developer Jobs in Michigan (NOW HIRING)

Linux Site Reliability Engineer

Livonia, MI · On-site

$53.25 - $71/hr

Experience with automation/acceleration and/or DevOps techniques and technologies * Experience with containeriazation, orchestration, IaC, and/or CI/CD (Docker et al is a plus) * Experience with ...

Linux Site Reliability Engineer

Livonia, MI

$50.50 - $67/hr

Experience with automation/acceleration and/or DevOps techniques and technologies * Experience with containeriazation, orchestration, IaC, and/or CI/CD (Docker et al is a plus) * Experience with ...

Headquarters for sales, engineering, design and administration. The MAPAL Group is an international supplier of precision tools for the machining of almost all materials. The family business has 4 ...

Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering or a related field and 2 years of experience in the job offered or a related occupation. 1 year of experience with ...

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Al Developer information

See Michigan salary details

$15.4K

$72.9K

$145.8K

How much do al developer jobs pay per year?

As of May 29, 2026, the average yearly pay for al developer in Michigan is $72,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,370.00 and $101,429.00 per year, depending on experience, location, and employer.

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

To thrive as an AI Developer, you need strong programming skills (especially in Python), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems is essential, and certifications in AI or data science can be advantageous. Creativity, analytical thinking, and effective communication help you design innovative solutions and collaborate with multidisciplinary teams. These skills and qualities are crucial for developing robust AI models that solve real-world problems efficiently and responsibly.

How does an AI Developer typically collaborate with data scientists and software engineers on projects?

AI Developers frequently work in cross-functional teams, collaborating closely with data scientists to understand data requirements and model objectives, and with software engineers to integrate AI solutions into larger applications. Effective communication is essential, as AI Developers often translate complex technical concepts into actionable tasks for team members. Regular meetings, code reviews, and shared development environments are common practices to ensure alignment and smooth project progress. This collaborative structure helps deliver robust and scalable AI-driven products.

What are AI Developers?

AI Developers are professionals who design, build, and implement artificial intelligence solutions, such as machine learning models, neural networks, and natural language processing systems. They work with large datasets, programming languages, and AI frameworks to create intelligent software applications that can automate tasks, analyze data, and solve complex problems. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI capabilities into various products and services.

What is the difference between Al Developer vs Data Scientist?

AspectAl DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; programming skills in Python, TensorFlowBachelor's or higher in Statistics, CS, or related; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech or AI-focused companiesAnalyzes data, builds predictive models, reports insights; in tech, finance, healthcare sectors
Employer & Industry UsageTech companies, AI startups, R&D labsTech firms, finance, healthcare, research institutions

While both roles involve working with data and programming, Al Developers focus on creating AI algorithms and applications, whereas Data Scientists analyze data to extract insights and build models. The roles often overlap but differ in primary objectives and skill emphasis.

Linux Site Reliability Engineer

RevSpring, Inc.

Livonia, MI • On-site

$53.25 - $71/hr

Full-time

Posted 17 days ago


Job description

Linux Site Reliability Engineer
Linux Site Reliability Engineer (SRE) will be a key player in maximizing business continuity and resiliency for TrustCommerce, an electronic payment processing division of RevSpring. Linux SRE will administer and support Linux-based applications, Linux-based data systems, Linux-based infrastructures, data center technologies, and other hosted/managed technologies. Additionally, Linux SRE will be principally involved in the engineering of infrastructural solutions, such as the advancement of CCM, SHM, CI/CD, IaC, and other initiatives. Responsibilities will include participation in 24x7 SLA-driven on-call rotations, issue and ticket triage and resolution, Linux and other technology administration and engineering, Linux scripting and other automation/acceleration engineering, improving security, reliability, exception handling, scalability, and observability, and participation in related activities.
Technical Requirements:
  • High proficiency in command-line Linux administration, troubleshooting, and reporting
  • High proficiency in 24x7, SLA-driven operations
  • Proficiency in LAMP/LAPP stack and/or Linux-based database administration
  • Proficiency in Linux and related business continuity, resiliency, and security
  • Proficiency in Linux shell scripting (Bash preferred)
  • Proficiency in application scripting (Python preferred)
  • Experience with automation/acceleration and/or DevOps techniques and technologies
  • Experience with containeriazation, orchestration, IaC, and/or CI/CD (Docker et al is a plus)
  • Experience with large data and analytics systems (SQL preferred)
  • Experience with the PCI DSS is a plus

Other Requirements:
  • Being solutions, details, and results oriented
  • Enthusiasm to learn, grow, and document
  • Comfort in 24x7, mission-critical, and SLA-driven on-call roles
  • Comfort in dynamic, fast-paced, and high-pressure environments
  • Comfort both being self-driven and self-reliant roles, as well as highly collaborative
  • Ability to travel within the United States roughly four times annually (for up to one week per trip)