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

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

Ann Arbor, 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 · 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 ...

Maxcare

Full-Stack Engineer

Birmingham, MI · On-site

$140 - $220/hr

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 ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

AI-Accelerated Software Development Across the SDLC * Use AI coding assistants and generative AI ... Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

AI-Accelerated Software Development Across the SDLC * Use AI coding assistants and generative AI ... Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

AI-Accelerated Software Development Across the SDLC * Use AI coding assistants and generative AI ... Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

AI-Accelerated Software Development Across the SDLCUse AI coding assistants and generative AI tools ... Software Engineer with full-stack expertise and a strong portfolio of delivered projects.Deep ...

Eccalon LLC

Full Stack Developer

Detroit, MI · On-site

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 ...

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 Television

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 · 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 Transportation

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 · 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 ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Farmington, MI

Full Stack Ai Engineer information

See Farmington, MI salary details

$43.8K

$132.6K

$187.5K

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

As of Sep 6, 2026, the average yearly pay for full stack ai engineer in Farmington, MI is $132,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $155,500.00 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 job categories do people searching Full Stack Ai Engineer jobs in Farmington, MI look for?

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

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

Cities near Farmington, 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 Farmington, 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 $132,615 per year, or $63.8 per hour.

Full-Stack AI Developer

H.W. Kaufman Group

Farmington Hills, MI • On-site

Full-time

Re-posted 18 hours ago

Key responsibilities

  • Build prototypes, automations, integrations, data-driven workflows, and application features across enterprise platforms such as Salesforce, MuleSoft, .NET, RPA, and AI/ML tooling.

  • Work directly with stakeholders to understand workflows, pain points, and value drivers, and translate business problems into working software and measurable experiments.

  • Document architecture, configuration, dependencies, limitations, prompts, runbooks, and operational considerations for handoff to the receiving team.

Job description

Responsibilities
H.W. Kaufman Group is building an AI Value Engineering capability inside Information Technology to engineer measurable business value across the enterprise. The AI Value Engineering team operates at the intersection of application development, RPA, data, business operations, and AI-enabled delivery. Its charter is to deliver high-impact solutions across quick-strike and deep-dive engagements, partner closely with business stakeholders, transition proven solutions to sustaining teams, and stop initiatives quickly when they are not proving value. The team is measured on portfolio impact, successful handoffs, quantified business value, disciplined focus, and the ability to avoid becoming a maintenance or production-support function.
This role is for a hands-on, AI-enabled developer who can move across applications, automation, data, and business operations to identify high-impact opportunities, build working solutions, prove their work, and transition responsibly to sustaining teams.
We are looking for developers for whom building software is more than a job. Strong candidates are resourceful, curious, disciplined, and energized by solving problems. They have opinions shaped by experience, reading, experimentation, and exposure to good engineering practices. They understand that AI changes the speed of software delivery, but not the need for judgment, craftsmanship, business understanding, and accountability.
This role is best suited for a T-shaped or comb-shaped technologist: broad enough to wire together platforms, data, APIs, automations, and user workflows; deep enough to make sound technical decisions and avoid fragile solutions.
What Success Looks Like
  • Take a loosely defined business problem, clarify the value hypothesis, and produce a working demonstration quickly
  • Know when an AI agent's recommendation is plausible, risky, over-engineered, or misaligned with enterprise supportability
  • Move comfortably between front-end, back-end, integration, data, workflow automation, and platform configuration
  • Actively look for simpler, faster, more supportable paths rather than merely implementing the first technical answer
  • Produce solutions that can be handed off cleanly; you do not create hidden dependencies on yourself
  • Communicate tradeoffs clearly to technical and non-technical audiences

Responsibilities
  • Deliver quick-strike solutions in days or weeks where business value is clear and the path is known
  • Contribute to deeper exploratory engagements over one to three months where the solution is uncertain, but the potential value is high
  • Build prototypes, automations, integrations, data-driven workflows, and application features across Salesforce, MuleSoft, .NET, RPA, AI/ML tooling, and related enterprise platforms
  • Use AI development tools such as Claude, Codex, Gemini, Copilot, or similar agents to accelerate delivery while validating architectural fit, maintainability, security, and operational risk
  • Work directly with underwriting, claims, operations, and IT stakeholders to understand workflows, pain points, value drivers, and practical adoption constraints
  • Translate business problems into working software, measurable experiments, and clear handoff packages
  • Document architecture, configuration, dependencies, known limitations, prompts, runbooks, and operational considerations for the receiving team
  • Recommend pivoting or stopping work when an initiative is not proving valuable, without treating that as failure
  • Shadow and learn business workflows so solutions are grounded in how work gets done

Qualifications
  • Professional software development experience in enterprise environments with 5+ years of experience
  • Full-stack capability across application development, integrations, APIs, data access, workflow automation, and user-facing delivery
  • Experience with at least several of the following: Salesforce, MuleSoft, .NET/C#, JavaScript/TypeScript, SQL, REST APIs, RPA/workflow tools, cloud services, CI/CD, or enterprise data platforms
  • Practical experience using AI-assisted development tools or a demonstrated ability to adopt them quickly and responsibly
  • Strong debugging, problem decomposition, and self-directed learning skills
  • Ability to evaluate code quality, maintainability, patterns, security implications, and operational fit
  • Ability to write clear technical documentation and conduct knowledge transfer with receiving teams
  • Comfort working in timeboxed engagements with defined outcomes, checkpoints, and handoff expectations
  • Experience in insurance, underwriting, brokerage, claims, or other workflow-heavy business domains is a plus
  • Exposure to enterprise architecture patterns, design patterns, domain modeling, relational database design, integration patterns, or similar engineering disciplines
  • Experience building automations or AI-enabled solutions that combine applications, data, documents, and human review workflows
  • Experience with prompt engineering, LLM evaluation, retrieval-augmented generation, agentic development workflows, or AI governance practices
  • Ability to operate inside appropriate enterprise guardrails while still challenging assumptions and finding better approaches

Complementary Strengths
Because this team is intentionally built from generalists who can go deep, we value candidates who bring complementary strengths that broaden the team's overall capability. Experience in any of the following areas is a plus, but not required:
  • Information security - secure development practices, identity and access management, data protection, secrets management, vulnerability remediation, secure API design, or practical experience partnering with security teams
  • Azure and cloud services - Azure App Services, Azure Functions, Logic Apps, Azure SQL, Storage Accounts, Key Vault, Service Bus, Entra ID, Azure DevOps, or similar cloud-native services
  • Infrastructure as Code / DevOps - Terraform, Bicep, ARM templates, CI/CD pipelines, environment configuration, deployment automation, observability, or release governance
  • Enterprise integration - API gateways, MuleSoft, event-driven integration, message queues, service orchestration, or integration monitoring
  • AI governance and operationalization - prompt/version management, LLM evaluation, data leakage prevention, human-in-the-loop review, auditability, monitoring, or safe deployment of AI-assisted workflows

#LI-CC1
About Our Company
About Our Company
H.W. Kaufman Group is a powerful global network of companies dedicated to shaping the future of insurance. With thousands of dedicated professionals across an extensive network of over 60 offices around the world, we lead by offering innovative solutions that are at the forefront of the industry. We are privately owned and thus free from the influence of Wall Street. This allows us the ability to adapt to constantly fluctuating market conditions. From brokerage, underwriting, and real estate to claims, loss control and risk management services, our depth of services is unrivaled.
Equal Opportunity Employer
The H.W. Kaufman Group of companies is an equal opportunity employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, gender, gender identity, age, national origin, disability, veteran status, marital status, pregnancy, sexual orientation, genetic information or any other status or condition protected by the laws or regulations in the locations where we operate.
In addition, Kaufman will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

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