1

Full Stack Ai Engineer Jobs in Detroit, MI (NOW HIRING)

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

Role Overview We are seeking a Senior Full Stack Engineer to design, develop, and support scalable ... Exposure to Generative AI / RAG / LLM-enabled applications Our Benefits -- Designed with You in ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent ...

The Senior Full Stack Software Engineer is responsible for working within the product team to ... Leverage Generative AI tools to refactor legacy codebases, automate documentation and generate ...

Showing results 21-40

Full Stack Ai Engineer information

See Detroit, MI salary details

$44K

$133.2K

$188.2K

How much do full stack ai engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for full stack ai engineer in Detroit, MI is $133,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $156,100.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Detroit, MI?

For Full Stack Ai Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Detroit, MI look for?

The top searched job categories for Full Stack Ai Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Full Stack Ai Engineer jobs?

Cities near Detroit, MI with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $123,314 per year, or $59.3 per hour.

Full Stack Engineer

Auburn Hills, MI • On-site


Stellantis
IT Services

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Good employer

Recommended by students

Paid breaks


Full-time

Re-posted 27 days ago


Job description

Role Overview
We are seeking a Senior Full Stack Engineer to design, develop, and support scalable enterprise applications across frontend, backend, cloud, and data platforms. This role requires strong expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence, along with hands-on experience in modern frontend/UI development.
The ideal candidate will be responsible for building robust user-facing applications, integrating backend services and data pipelines, and ensuring performance, reliability, and observability across the full technology stack. This role requires strong ownership, collaboration, and the ability to work across engineering, DevOps, data, and business teams.
Key Responsibilities
  • Design, develop, and maintain end-to-end full stack applications, including frontend UI components, backend APIs, and cloud-native services
  • Build responsive, reusable, and user-friendly frontend interfaces using modern UI frameworks, ensuring performance, accessibility, and consistency across applications
  • Develop and support backend services and APIs for application integration, business logic, and data access
  • Architect and manage cloud-based solutions using AWS services such as EC2, S3, Lambda, RDS, API Gateway, and related services
  • Integrate applications with Databricks and AWS-based data platforms to support data processing, analytics, and reporting use cases
  • Enable business reporting and insight generation by supporting integration with Power BI dashboards and data models
  • Implement monitoring, observability, and application health dashboards using Grafana and cloud monitoring tools
  • Collaborate in Agile teams using JIRA for sprint planning and tracking, and maintain technical documentation in Confluence
  • Work closely with DevOps, data engineering, QA, and business stakeholders to ensure smooth delivery of features and releases
  • Troubleshoot production issues, perform root cause analysis, and improve application reliability, scalability, and maintainability
  • Contribute to architectural decisions, coding standards, reusable frameworks, and engineering best practices
  • Mentor junior developers and support knowledge sharing across frontend, backend, and platform teams

Basic Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • A minimum of 5 years of overall experience
  • Experience in full stack software engineering or application development
  • Strong hands-on experience in frontend/UI development using modern frameworks such as React, Angular, or similar
  • Strong experience in backend development using Python, Java, Node.js, or similar technologies
  • Solid expertise in AWS cloud services including EC2, S3, Lambda, RDS, API Gateway, and IAM
  • Experience integrating applications with Databricks or similar cloud-based data platforms
  • Experience working with Power BI for reporting integration, dashboard enablement, or data model support
  • Hands-on experience with Grafana for monitoring, dashboard creation, and observability
  • Good understanding of REST APIs, microservices architecture, and application integration patterns
  • Strong knowledge of SQL, data access patterns, and backend-to-data platform integration
  • Experience working in Agile teams using JIRA and Confluence
  • Strong debugging, troubleshooting, and performance optimization skills

Preferred Requirements
  • Experience with containerization and orchestration using Docker and Kubernetes/OpenShift
  • Exposure to CI/CD pipelines and DevOps practices
  • Familiarity with Databricks workflows, Spark, and lakehouse concepts
  • Experience with event-driven architecture and serverless design patterns
  • Exposure to Power BI administration or advanced dashboard integration
  • Knowledge of enterprise application security practices
  • Experience in automotive or enterprise-scale platforms
  • Exposure to Generative AI / RAG / LLM-enabled applications


What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom