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Fastapi Jobs in Michigan (NOW HIRING)

Senior AI Engineer

Dearborn, MI ยท On-site

$112K - $148K/yr

Develop backend APIs and microservices using Python, FastAPI, .NET, C#, or Node.js. * Integrate AI solutions with Microsoft 365, Teams, SharePoint, Outlook, Dynamics,Microsoft Graph, APIs, databases ...

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Python (Flask, Django, or FastAPI), Java (SpringBoot), or Angular JS. 2. Designing, building, and maintaining Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate software ...

Hardware Engineer 2

Ann Arbor, MI ยท On-site

$172K/yr

AWS, Terraform, DynamoDB, FastAPI; Documentation & Tracking: Confluence, Jira, JAMA, Miro, Figma. JOB LOCATION: 2211 Old Earhart Dr., Ann Arbor, MI 48105 RATE OF PAY: $172,000.00

New

Hardware Engineer 2

Ann Arbor, MI ยท On-site

$172K/yr

AWS, Terraform, DynamoDB, FastAPI; Documentation & Tracking: Confluence, Jira, JAMA, Miro, Figma. JOB LOCATION: 2211 Old Earhart Dr., Ann Arbor, MI 48105 RATE OF PAY: $172,000.00

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Fastapi information

See Michigan salary details

$104.9K

$118.6K

$133.9K

How much do fastapi jobs pay per year?

As of Jul 9, 2026, the average yearly pay for fastapi in Michigan is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,406.00 and $122,944.00 per year, depending on experience, location, and employer.

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are the most commonly searched types of Fastapi jobs in Michigan? The most popular types of Fastapi jobs in Michigan are:
What job categories do people searching Fastapi jobs in Michigan look for? The top searched job categories for Fastapi jobs in Michigan are:
Infographic showing various Fastapi job openings in Michigan as of July 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $118,553 per year, or $57 per hour.
Senior AI Engineer

$112K - $148K/yr

Other

Posted 2 days ago

New


Job description

Miracle Software Systems, Inc is looking for Senior AI Engineer position at Dearborn,MI. Please find the below Job details.

  • Position Description:We are looking for a Senior AI Engineer with strong hands-on experience in building enterprise AI and GenAI solutions using the Microsoft technology stack. The candidate should be able to design, develop, integrate, and deploy AI applications, RAG solutions, copilots, AI agents, and automation workflows using Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Power Platform, Python, FastAPI, and related Microsoft services.Ideal Candidate should have hands-on senior AI engineer who can build production-ready AI solutions using Python,FastAPI, Azure AI services, and the broader Microsoft stack. The candidate should be able to work with business teams and deliver scalable, secure, and practical enterprise AI applications.

    Responsibilities:

    • Design and build AI/GenAI applications using Azure OpenAI, Azure AI Foundry, Azure AI Services, and Microsoft cloud services.
    • Develop RAG pipelines using enterprise data, embeddings, vector search, semantic search, and grounding techniques.
    • Build AI agents, custom copilots, and workflow-based assistants for enterprise use cases.
    • Develop backend APIs and microservices using Python, FastAPI, .NET, C#, or Node.js.
    • Integrate AI solutions with Microsoft 365, Teams, SharePoint, Outlook, Dynamics,Microsoft Graph, APIs, databases, and enterprise systems.
    • Implement document processing, summarization, classification, search, and intelligent automation workflows.
    • Ensure security, access control, logging, monitoring, responsible AI practices, and production readiness.
    • Work closely with business users, architects, product teams, and delivery teams to convert requirements into scalable AI solutions
    Preferred Skills:
    • Microsoft Copilot Studio, Power Automate, Power Apps, Microsoft Graph, and Teams integration.
    • Semantic Kernel, LangChain, LlamaIndex, AutoGen, or similar AI orchestration frameworks.
    • Document Intelligence, OCR, contract review, invoice processing, or enterprise search experience.
    • Azure DevOps, GitHub Actions, Docker, Kubernetes, or Terraform experience.
    • Experience with AI governance, responsible AI, observability, and model evaluation.

    Required Skills:

    • Strong experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure cloud services.
    • Hands-on experience building GenAI applications, RAG solutions, chatbots, copilots, or AI agents.
    • Strong programming experience in Python and FastAPI.
    • Experience with .NET, C#, or Node.js is preferred.
    • Experience with Azure Functions, App Services, Logic Apps, API Management, Azure SQL, Cosmos DB, Storage, and Key Vault.
    • Good understanding of prompt engineering, embeddings, vector search, semantic search, hybrid search, and model grounding.
    • Experience integrating AI solutions with APIs, enterprise systems, databases, and document repositories.
    • Strong understanding of security, identity, role-based access, DevOps, and enterprise architecture patterns.
    • Good communication skills and ability to work directly with business and technical stakeholders.

Miracle Software Systems, Inc. is a Global System Integrator; a Technology Solution Provider headquartered in Novi, MI. Established in 1994, Miracle has over 30 years of history helping Fortune 1000 companies through Business Transformation Initiatives with innovative technology Products and Solutions driven by Data Science and Analytics, Enterprise Cloud, Mobility, Virtual Reality, Digital Experience, Machine Learning, AI, Enterprise Application Integration and more. We are a Premier Partner of IBM and a National Implementation Partner of SAP. Miracle s team spans four continents and includes 2000 IT Professionals working across the globe, our teams run on the core principles of Quality Delivery, Thought Leadership and Affordable Innovation