ZipRecruiter

Log In

1

Ai Coder Jobs in Detroit, MI (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks. Required qualifications

X by 2

Technical Lead (Applied AI)

Detroit, MI · On-site

Define and enforce coding standards, best practices, and design patterns across the team * Build ... AI / Machine Learning Development * Design, develop, and train machine learning and deep learning ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

AI engineer Location: Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time ... Experience using orchestration tools like Airflow and have knowledge of Infrastructure as code ...

Barton Malow

Sr. AI Engineer

Southfield, MI · On-site

$95K - $131K/yr

This is not a role at a software company, and it is not a role where you write a little code on the side. It is a role building the foundation an entire organization will run AI on for the next ...

Barton Malow

Sr. AI Engineer

Southfield, MI · On-site

$95K - $131K/yr

This is not a role at a software company, and it is not a role where you write a little code on the side. It is a role building the foundation an entire organization will run AI on for the next ...

OneStream Software

Senior AI Engineer

Birmingham, MI · On-site

$99K - $136K/yr

Description Senior AI Engineer Location : Hybrid, United States Employment Type : Full-Time ... Lead code reviews, provide technical guidance, and mentor junior engineers. * Plan out product ...

OneStream

Senior AI Engineer

Birmingham, MI · On-site

$99K - $136K/yr

Senior AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered ... Lead code reviews, provide technical guidance, and mentor junior engineers. * Plan out product ...

OneStream

Senior AI Engineer

Birmingham, MI

$99K - $136K/yr

Senior AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Lead code reviews, provide technical guidance, and mentor junior engineers. * Plan out product ...

Mastronardi Produce Limited

AI Engineer

Livonia, MI · On-site

This is a hands-on individual contributor role: the AI Engineer writes code, builds integrations, and ships working solutions directly, with accountability for the technical architecture, performance ...

Sunset Grown

AI Engineer

Livonia, MI · On-site

This is a hands-on individual contributor role: the AI Engineer writes code, builds integrations, and ships working solutions directly, with accountability for the technical architecture, performance ...

previous page

Showing results 41-60

All JobsAi Coder JobsAi Coder Jobs in Detroit, MI

Ai Coder information

See Detroit, MI salary details

$15

$27

$43

How much do ai coder jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for ai coder in Detroit, MI is $27.22, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $34.28 per hour, depending on experience, location, and employer.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

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

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.
What are popular job titles related to Ai Coder jobs in Detroit, MI? For Ai Coder jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Ai Coder jobs in Detroit, MI look for? The top searched job categories for Ai Coder jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Ai Coder jobs? Cities near Detroit, MI with the most Ai Coder job openings:
Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Detroit, MI as of July 2026, with employment types broken down into 69% Full Time, 21% Part Time, and 10% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $52,321 per year, or $25.2 per hour.

AI Data Engineer

IntraEdge

Detroit, MI

$113K - $136K/yr

Full-time

Re-posted yesterday

Job description

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued. 
Education:Employment Type: FULL_TIME
IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

View All IntraEdge Jobs

Apply