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Remote Workflow Developer Jobs in Michigan (NOW HIRING)

Huntington

Senior Developer

Detroit, MI · On-site +1

$57K - $113K/yr

Preferred exposure to IBM FileNet Content Management (CPE, workflows, integrations, IBM Case ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Developer

Detroit, MI · On-site +1

$57K - $113K/yr

Preferred exposure to IBM FileNet Content Management (CPE, workflows, integrations, IBM Case ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Corning

... workflow automation, and enterprise integrations. This is not a pure research or model-training ... remote and office presence as needed. - Opportunity to learn from senior engineers and grow into ...

Corning

... workflow automation, and enterprise integrations. This is not a pure research or model-training ... remote and office presence as needed. - Opportunity to learn from senior engineers and grow into ...

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Remote Workflow Developer information

What is the difference between Remote Workflow Developer vs Remote Business Analyst?

AspectRemote Workflow DeveloperRemote Business Analyst
Required CredentialsTechnical certifications, programming skillsBusiness analysis certifications, analytical skills
Work EnvironmentCollaborates with developers, IT teamsWorks with stakeholders, project managers
Industry UsageTech, software development, automationFinance, healthcare, consulting
Search & Comparison IntentFocus on automation, workflows, scriptingFocus on business processes, requirements

The Remote Workflow Developer primarily focuses on designing and implementing automated workflows using technical skills, while the Remote Business Analyst concentrates on analyzing business needs and translating them into solutions. Both roles often collaborate but serve different functions within project teams, with the Workflow Developer emphasizing technical automation and the Business Analyst emphasizing process improvement.

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The most popular types of Workflow Developer jobs in Michigan are:

What are popular job titles related to Remote Workflow Developer jobs in Michigan?

For Remote Workflow Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Workflow Developer jobs in Michigan look for?

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Infographic showing various Remote Workflow Developer job openings in Michigan as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Allendale, MI • Remote

Full-time

Re-posted 16 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