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Remote Software Engineers Jobs in Michigan (NOW HIRING)

Gentex

Software Engineering Project Manager

Zeeland, MI · On-site +1

POSITION OVERVIEW The Software Engineering Project Manager II will lead the engineering development ... This role is not eligible for remote work. WHAT YOU'LL DO * Lead 2-4 Gentex Engineering disciplines ...

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Remote Software Engineers information

What is the difference between Remote Software Engineers vs Remote Web Developers?

AspectRemote Software EngineersRemote Web Developers
Required CredentialsBachelor's in CS or related field, coding skills, sometimes certificationsBachelor's in CS, web development certifications (e.g., HTML, CSS, JavaScript)
Work EnvironmentCollaborate on software projects, coding, testing, debuggingDesign and develop websites, front-end and back-end tasks
Employer & Industry UsageTech companies, startups, software firmsDigital agencies, e-commerce, tech companies
Search & Comparison IntentYesYes

Remote Software Engineers focus on developing comprehensive software solutions, often working on backend, frontend, or full-stack projects. Remote Web Developers specialize in creating and maintaining websites and web applications. While both roles require coding skills and often similar credentials, their work environments and project types differ. Understanding these distinctions helps job seekers find roles aligned with their skills and career goals.

What are the most commonly searched types of Software Engineers jobs in Michigan?

The most popular types of Software Engineers jobs in Michigan are:

What are popular job titles related to Remote Software Engineers jobs in Michigan?

For Remote Software Engineers jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Software Engineers jobs in Michigan look for?

The top searched job categories for Remote Software Engineers jobs in Michigan are:

What cities in Michigan are hiring for Remote Software Engineers jobs?

Cities in Michigan with the most Remote Software Engineers job openings:

Remote Software Engineers jobs near you
Infographic showing various Remote Software Engineers job openings in Michigan as of September 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Allendale, MI • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 24 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply