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Ai Backend Developer Jobs in Michigan (NOW HIRING)

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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.

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.

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 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:
Infographic showing various Ai Backend Developer job openings in Michigan as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Senior Backend Engineer / Telematics Data Platform (W2 Position)

Senior Backend Engineer / Telematics Data Platform (W2 Position)

Megan soft Inc

Dearborn Heights, MI • On-site

Other

Re-posted 29 days ago


Job description

Hi We have a job opportunity of a Role Senior Backend Engineer /Telematics Data Platform with given job description on W2. Please forward updated profile to Koti@megansoft.com or +1  (248) 671-4750.

Role: Senior Backend Engineer / Telematics Data Platform (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 8+ Years

JD:

Skills Required:

GCP, Big Data, Artificial Intelligence & Expert Systems, API

  • GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data – Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Artificial Intelligence & Expert Systems – Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API – Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:

Google Cloud Platform

  • Google Cloud Platform – Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:

  • Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. 7+ years in IT; 5+ years in development

Experience Preferred:

Languages: Kotlin, Java, Python, or equivalent JVM/backend language Frameworks: Spring Boot, gRPC, REST API design Data: BigQuery, PostgreSQL, Redis, Bigtable, Kafka or Pub/Sub Infrastructure: GCP (or equivalent), Docker, Kubernetes, CI/CD pipelines Practices: TDD, MLOps-adjacent data pipeline patterns, database performance tuning, API versioning
 
Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335