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Ai Backend Developer Jobs in Michigan (NOW HIRING)

JRD Systems

Backend Developer (.NET/AWS)

Pontiac, MI · On-site

The ideal candidate will contribute to cloud modernization and AI-enabled engineering initiatives by building scalable backend systems and leveraging intelligent development tools to improve ...

Lancesoft

Backend Developer

Detroit, MI · On-site

$60 - $65/hr

Experience utilizing AI-assisted development tools (e.G., GitHub Copilot). * Solid working ... Provides technical guidance in advanced programming techniques and application design required.

Software People, Inc.

AI Developer

Lansing, MI · On-site

The resource also provides technical oversight to developers in the team that support other ... backend communication • Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI ...

Merican

AI Native Software Engineer

Detroit, MI

AI Native Software Engineer Seeking a hands-on AI Native Software Engineer to design, build, and ... Develop backend services and APIs supporting agent workflows Testing & Performance * Define and ...

Merican

AI Native Software Engineer

Detroit, MI · On-site

AI Native Software Engineer Duration: 12 Months Location: Dallas, TX Work Type: Onsite Job Type ... Develop backend services and APIs supporting agent workflows Testing & Performance * Define and ...

CBTS

AI Software Engineer III

Detroit, MI

$75/hr

You will also architect backend services, APIs, and integrations that apply software engineering discipline to govern how AI-driven systems behave across the engineering workflow. This is a hands-on ...

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Ai Backend Developer information

How does the role of an AI Backend Developer typically 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.

Can AI do backend coding?

AI can assist with backend coding by generating code snippets, automating repetitive tasks, and optimizing certain processes. However, human developers are still essential for designing system architecture, debugging, and ensuring code quality. AI tools are best used as support within a developer’s workflow, often integrated with programming environments and version control systems.

What are the key skills and qualifications needed to thrive as an AI Backend Developer, and why are they important?

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.

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.

Which 3 jobs will survive AI?

AI backend developers will continue to be essential for designing, implementing, and maintaining AI systems, as human oversight and expertise are needed for complex problem-solving and ethical considerations. Other roles likely to persist include data scientists, who interpret and validate AI outputs, and cybersecurity specialists, who protect AI infrastructure from threats. These jobs require specialized skills, critical thinking, and adaptability that AI is less capable of replacing fully.

What engineers make 500,000?

Senior AI backend engineers with extensive experience, specialized skills in machine learning, deep learning, and cloud infrastructure can earn salaries of $500,000 or more, especially in high-cost markets or at large tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI engineers or machine learning executives, often in large tech companies or specialized firms. These positions usually require advanced skills in AI, deep learning, and data science, along with significant experience and sometimes leadership responsibilities.

What are AI Backend Developers?

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 are popular job titles related to Ai Backend Developer jobs in Michigan? For Ai Backend Developer jobs in Michigan, the most frequently searched job titles are:
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:
What cities in Michigan are hiring for Ai Backend Developer jobs? 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 June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.
Backend Developer (.NET/AWS)

Backend Developer (.NET/AWS)

JRD Systems

Pontiac, MI • On-site

Full-time

Posted 10 days ago

Job description

Job Title:
Backend Developer (.NET/AWS)
Job Summary:
We are seeking a Backend Developer with strong expertise in .NET modernization, API development, AWS cloud services, database integration, and AI-assisted development practices. The ideal candidate will contribute to cloud modernization and AI-enabled engineering initiatives by building scalable backend systems and leveraging intelligent development tools to improve productivity and delivery speed.
Key Responsibilities:
  • Develop and modernize backend applications using .NET technologies.
  • Build scalable RESTful APIs and cloud-native backend services.
  • Integrate applications with AWS services, enterprise systems, and databases.
  • Support AI-powered workflows, backend integrations, and automation initiatives.
  • Leverage AI-assisted coding tools and development accelerators to optimize engineering productivity.
  • Participate in cloud migration and modernization programs.
  • Collaborate with frontend, DevOps, QA, and AI engineering teams.
  • Support debugging, troubleshooting, performance optimization, and production support.

Required Skills:
  • Strong experience with .NET Framework/.NET Core modernization.
  • Expertise in API development and backend integrations.
  • Experience with AWS services and cloud-native application development.
  • Familiarity with AI-assisted development tools and intelligent coding workflows.
  • Database integration experience with SQL/NoSQL platforms.
  • Understanding of microservices architecture and CI/CD pipelines.

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