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Rpa Developer Remote Jobs in Michigan (NOW HIRING)

EnerSys

Senior Finance AI & Automation Developer

Novi, MI · On-site +1

$95K - $142K/yr

... remote arrangement. Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes.

Formic

Automation Sales Manager

Detroit, MI · Remote

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

Formic

Automation Sales Manager

Grand Rapids, MI · Remote

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

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Rpa Developer Remote information

See Michigan salary details

$41.8K

$97.5K

$144.7K

How much do rpa developer remote jobs pay per year?

As of Sep 5, 2026, the average yearly pay for rpa developer remote in Michigan is $97,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $113,300.00 per year, depending on experience, location, and employer.

What is an RPA developer remote?

A Remote RPA Developer job involves designing, developing, and implementing robotic process automation (RPA) solutions while working from a remote location. These professionals use tools like UiPath, Automation Anywhere, or Blue Prism to automate repetitive tasks and improve business efficiency. They collaborate with teams virtually, troubleshoot automation issues, and ensure smooth workflow operations. Strong programming skills, problem-solving abilities, and experience with RPA tools are essential for this role.

What does a typical workday look like for a remote RPA developer?

A typical workday for a remote RPA Developer often starts with a virtual team meeting to discuss ongoing projects, set priorities, and address any blockers. Throughout the day, you'll be designing, developing, and testing automation scripts, troubleshooting existing bots, and collaborating with business analysts and stakeholders to understand and optimize workflows. Regular check-ins with team members and documentation updates are common to ensure projects are aligned and compliant with best practices. Remote RPA Developers rely heavily on communication tools and project management systems to stay connected and productive, making organization and proactive communication essential in this role.

What are the key skills and qualifications needed to thrive in the RPA developer remote position, and why are they important?

To thrive as an RPA Developer Remote, you need expertise in Robotic Process Automation tools such as UiPath, Blue Prism, or Automation Anywhere, along with strong programming skills in languages like Python, .NET, or Java. Familiarity with workflow automation, process analysis, and relevant certifications such as UiPath Certified RPA Developer are typically important for this role. Excellent problem-solving skills, self-motivation, and clear communication are key soft skills, especially when working remotely with cross-functional teams. These skills ensure you can efficiently automate business processes, resolve technical challenges independently, and maintain effective collaboration in a distributed work environment.

Is RPA developer in demand?

RPA developers are in high demand due to the increasing adoption of automation across industries. Organizations seek professionals skilled in tools like UiPath, Automation Anywhere, and Blue Prism to streamline processes and improve efficiency, leading to strong job growth in this field.

What is the average salary of a RPA developer?

The average salary of a remote RPA developer in the US typically ranges from $80,000 to $130,000 annually, depending on experience, certifications, and the complexity of automation projects. Skilled RPA developers proficient in tools like UiPath, Automation Anywhere, or Blue Prism tend to earn higher salaries, especially with relevant certifications and experience in process analysis and scripting.

What are the most commonly searched types of Rpa Developer jobs in Michigan?

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

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

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

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

The top searched job categories for Rpa Developer Remote jobs in Michigan are:

What cities in Michigan are hiring for Rpa Developer Remote jobs?

Cities in Michigan with the most Rpa Developer Remote job openings:

Rpa Developer Remote jobs near you
Infographic showing various Rpa Developer Remote job openings in Michigan as of August 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 100% Remote job distribution, with an average salary of $97,484 per year, or $46.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Detroit, MI • Remote

Full-time

Re-posted 15 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