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Ai Backend Developer Jobs in Michigan (NOW HIRING)

Stefanini

Backend Developer

Dearborn, MI · On-site

Stefanini is looking for a Backend Developer (Dearborn, MI) For quick apply, please reach out to ... Experience PreferredExperience integrating with LLM inference APIs or AI engine backends.

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Ai Backend Developer information

What is an AI backend developer?

AI Backend Developers are software engineers who specialize in building and maintaining the server-side infrastructure that powers artificial intelligence applications. They design APIs, manage databases, and implement algorithms that support machine learning models and AI-driven features. Their work ensures that AI systems are scalable, efficient, and securely integrated with other services. AI Backend Developers often work closely with data scientists and frontend developers to deliver end-to-end AI solutions.

What skills and qualifications are needed to be an AI backend developer?

To thrive as an AI Backend Developer, you need strong programming skills (especially in Python or Java), a solid grasp of machine learning concepts, and experience with backend frameworks, supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), containerization tools (such as Docker), and frameworks like TensorFlow or PyTorch is typically required, along with knowledge of RESTful APIs and databases. Problem-solving abilities, teamwork, and clear communication are essential soft skills that help navigate complex projects and collaborate with cross-functional teams. These technical and interpersonal skills ensure robust, scalable AI solutions are developed and maintained efficiently in a rapidly evolving field.

How does an AI backend developer interact with data scientists and frontend teams?

As an AI Backend Developer, you will frequently collaborate with data scientists to integrate machine learning models into scalable backend systems. This involves translating prototypes into production-ready APIs, ensuring data pipelines are robust, and optimizing inference performance. You’ll also work closely with frontend teams to define API contracts and ensure that data flows smoothly between the user interface and backend processes. Effective communication and teamwork are essential, as these collaborations help deliver seamless AI-powered features to end users.

What is the difference between Ai Backend Developer vs Data Engineer?

AspectAi Backend DeveloperData Engineer
Required CredentialsBachelor's in CS, AI, or related fields; knowledge of AI frameworksBachelor's in CS, Data Science, or related fields; expertise in data pipelines
Work EnvironmentDeveloping AI models, integrating AI into backend systemsBuilding and maintaining data infrastructure and pipelines
Employer & Industry UsageTech companies, AI startups, enterprises integrating AIData-driven companies, finance, healthcare, tech firms

While both roles require strong programming skills and familiarity with data processing, Ai Backend Developers focus on integrating AI models into backend systems, whereas Data Engineers specialize in building data pipelines and infrastructure. Both roles are essential in AI-driven projects but serve different functions within the data ecosystem.

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What job categories do people searching Ai Backend Developer jobs in Michigan look for?

The top searched job categories for Ai Backend Developer jobs in Michigan are:

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Cities in Michigan with the most Ai Backend Developer job openings:

Ai Backend Developer jobs near you
Infographic showing various Ai Backend Developer job openings in Michigan as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Backend Developer

Stefanini

Dearborn, MI • On-site

Other

Re-posted 14 days ago

Job description


Stefanini Group is hiring!
Stefanini is looking for a Backend Developer (Dearborn, MI)
For quick apply, please reach out to Fardeen Ali at /
We are seeking candidates who will develop and maintain the back-end/server-side parts of an application, typically consisting of APIs, databases, and other services containing business logic. They work with various languages and tools to create and maintain services on-prem or in the cloud.
ResponsibilitiesEngage with customers to understand their use-cases and requirements.Design, develop, and deliver new code using various tools, languages, frameworks, and technologies.Develop and maintain back-end applications like APIs and microservices using server-side languages like Java, Python, C#, etc.Manage application deployment to the cloud or on-prem, health and performance monitoring, security hardening, and disaster recovery for deployed applications.Manage data storage and retrievals in applications by utilizing database technologies such as Oracle, MySQL, MongoDB, etc.Promote improvements in programming practices, such as test-driven development, continuous integration, and continuous delivery.Optimize back-end infrastructure and deployment practices to improve application resiliency and reliability.Support security practices to safeguard user data including encryption and anonymization.
Skills RequiredGoogle Cloud Platform Cloud Run, C++, GitHub, REST APIs, Google Cloud Platform, Cloud Infrastructure, Microservices, Java, Python
Experience Required2 or more years of professional experience in backend software engineering with a focus on cloud-native services on Google Cloud Platform or equivalent cloud platforms.Proficiency in Python, C++, and Java for backend service development.Experience designing and implementing REST and gRPC APIs, with a strong grasp of API versioning, backward compatibility, and documentation practices.Hands-on experience with Google Cloud Platform services including Cloud Run, GKE, Pub/Sub, Cloud Build, and Cloud Logging.Experience with event-driven architecture patterns and message queue systems; Kafka familiarity is a strong plus given TOP's observability stack.Solid understanding of CI/CD pipeline design and implementation in a GitHub-based development workflow.Experience instrumenting services with OpenTelemetry or equivalent observability frameworks.Demonstrated ability to write clean, testable, well-documented code in a collaborative team environment.
Experience PreferredExperience integrating with LLM inference APIs or AI engine backends.Familiarity with automotive data formats or telematics data structures.Google Cloud Professional Cloud Developer certification.Familiarity with OpenAPI specification and API gateway patterns on Google Cloud Platform.
Education RequiredBachelor's Degree
Education PreferredCertification Program
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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