ZipRecruiter

Log In

1

Full Stack Ai Engineer Jobs in Rochester Hills, MI

Max AI, Inc.

Full-Stack Engineer

Birmingham, MI · On-site

$140K - $220K/yr

Max AI - Stripe for Healthcare Max AI is the World's first human-free, fully-autonomous medical ... Full Stack Engineer Responsibilities * Taking ownership of the entire product lifecycle-from ...

Max AI, Inc.

Full-Stack Engineer

Birmingham, MI

$140K - $220K/yr

Max AI - Stripe for Healthcare Max AI is the World's first human-free, fully-autonomous medical ... Full Stack Engineer Responsibilities * Taking ownership of the entire product lifecycle-from ...

Eccalon LLC

Full Stack Developer

Detroit, MI

Full Stack Developer Location: Detroit, MI On-site Type: Full-time Clearance: No Clearance Required ... Integrate LLM and AI capabilities into product features using the Anthropic API (Claude) and other ...

Hearst

Full-Stack Data Engineer

Troy, MI

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 ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

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 ...

Hearst Television

Full-Stack Data Engineer

Troy, MI

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 ...

Stellantis

Full Stack Engineer

Auburn Hills, MI

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 ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

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 ...

Hearst

Full-Stack Data Engineer

Troy, MI

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 ...

Hearst

Full-Stack Data Engineer

Troy, MI

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 ...

next page

Showing results 1-20

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Rochester Hills, MI

Full Stack Ai Engineer information

See Rochester Hills, MI salary details

$41K

$124K

$175.3K

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

As of Jul 19, 2026, the average yearly pay for full stack ai engineer in Rochester Hills, MI is $124,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $145,400.00 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.

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 the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

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.
What cities near Rochester Hills, MI are hiring for Full Stack Ai Engineer jobs? Cities near Rochester Hills, MI with the most Full Stack Ai Engineer job openings:
Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Rochester Hills, MI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $124,050 per year, or $59.6 per hour.

Full stack AI Engineer

Altitude Technology Solutions Inc

Detroit, MI • On-site

Other

Posted 3 days ago

New

Job description

Overview
Focus is on advancing the use of artificial intelligence and machine learning technologies across core product development and engineering platforms.
This work requires a hands-on developer to actively utilize modern AI tools and coding assistants to accelerate software delivery across the entire Software Development Lifecycle (SDLC)—from initial requirements analysis to development, testing, deployment, and monitoring. Responsibilities include designing, building, and maintaining secure, scalable web applications utilizing Angular on the frontend and cloud-native services on Google Cloud Platform (Google Cloud Platform) on the backend.
 
Technical Skills Quick-Glance
| Area | Technologies |
| Frontend | Angular (v14+ preferred), TypeScript, HTML, CSS/SCSS, RxJS, NgRx, design systems |
| Backend & APIs | Node.js, Java, Python, Spring Boot, NestJS, Express, REST APIs, Microservices |
| Cloud & DevOps | Google Cloud Platform (Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud SQL, Secret Manager, Cloud Build), Docker, Git, CI/CD |
| AI & LLM Integration | AI Coding Assistants, LLM APIs, Vector Search/Databases, RAG, Agentic Workflows |
 
Core Responsibilities
1. Full-Stack Application Development
 * Design, develop, test, and maintain robust full-stack web applications using Angular, modern backend services, and cloud-native technologies on Google Cloud Platform.
 * Create highly responsive, intuitive, and performant user interfaces that simplify complex engineering workflows.
 * Develop secure backend services, RESTful APIs, data integrations, and reusable software components.
 * Integrate applications with enterprise data sources, authentication systems, and internal engineering tools.
 * Ensure all production applications are secure, scalable, highly observable, and easily maintainable.
2. AI-Accelerated Software Delivery (SDLC)
 * Utilize AI coding assistants and generative AI platforms to streamline development, refactoring, debugging, documentation, and code reviews.
 * Leverage AI capabilities to assist with technical design exploration, user story refinement, and test-case generation (unit, integration, and end-to-end testing).
 * Apply AI-assisted approaches to accelerate defect triage, log analysis, root-cause investigation, and production support workflows.
 * Drive the responsible and secure use of AI tools in alignment with enterprise security and data privacy standards.
3. Cloud-Native & Platform Engineering
 * Deploy and support containerized applications using Google Cloud Platform cloud-native architecture patterns.
 * Collaborate with infrastructure and DevSecOps teams to build, manage, and optimize CI/CD pipelines, containerization (Docker/Kubernetes), and automated deployments.
 * Apply cloud security best practices, including robust identity and access management (IAM), secrets management, and data protection controls.
4. AI and Workflow Integration
 * Help build and enhance internal developer productivity platforms and AI-enabled software tools.
 * Integrate applications with LLMs, custom embeddings, vector databases, and workflow automation frameworks.
 * Explore and implement emerging AI patterns, including Retrieval-Augmented Generation (RAG), agentic workflows, and Model Context Protocol (MCP).
 
Required Qualifications
 * Education: Bachelor’s Degree in Computer Science, Software Engineering, or a related technical field (or equivalent professional experience).
 * Experience: 7+ years of professional full-time software development experience.
 * Frontend Expertise: 7+ years of hands-on experience building modern, large-scale web applications using Angular and TypeScript.
 * Backend Development: Strong experience developing backend APIs and microservices using languages/frameworks such as Node.js, Python, Java, Spring Boot, or NestJS.
 * Cloud Platform: Hands-on development experience with Google Cloud Platform (Google Cloud Platform) or an equivalent major cloud platform (AWS/Azure) with a strong willingness to work in a Google Cloud Platform environment.
 * AI Tooling: Practical, modern experience utilizing AI coding assistants (e.g., GitHub Copilot, Cursor) or LLM-driven development workflows to optimize productivity.
 * Engineering Best Practices: Proven track record with Git, CI/CD pipelines, automated testing, secure coding practices, and Agile delivery.
 
Preferred Qualifications
 * Deep expertise in Angular architecture, state management (RxJS, NgRx), and frontend performance optimization.
 * Practical experience deploying applications utilizing specific Google Cloud Platform services such as Cloud Run, GKE, Cloud Build, BigQuery, Pub/Sub, and Cloud SQL.
 * Experience building production-grade AI-enabled applications (using LLM APIs, prompt engineering, vector search, or LangChain/Semantic Kernel frameworks).
 * Familiarity with unit and integration testing frameworks (e.g., Jasmine, Jest, Cypress, Playwright, PyTest).
 * Background working in large-scale enterprise environments with rigorous compliance, security, and data governance policies.
 

Apply