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Remote Engineering Jobs in Warren, MI (NOW HIRING)

LOGGING IN COM LLC

IOS Developer

Farmington, MI · Remote

$51 - $70/hr

IOS/Andriod Developer Remote 1 Year * 6+ years of experience developing publicly available iOS apps using Swift 5 and/or Objective-C * Verifiable experience as an iOS developer using Swift ...

LOGGING IN COM LLC

IOS Developer

Farmington, MI · Remote

$51 - $70/hr

IOS/Andriod Developer Remote 1 Year * 6+ years of experience developing publicly available iOS apps using Swift 5 and/or Objective-C * Verifiable experience as an iOS developer using Swift ...

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Showing results 41-60

All JobsEngineering JobsRemote Engineering JobsRemote Engineering Jobs in Warren, MI

Remote Engineering information

See Warren, MI salary details

$30.5K

$59.1K

$89.7K

How much do remote engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote engineering in Warren, MI is $59,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,100.00 and $67,600.00 per year, depending on experience, location, and employer.

What is remote engineering?

Remote engineering refers to engineering work that is performed outside of a traditional office or job site, typically from home or another remote location. Remote engineers use digital tools and communication platforms to collaborate with teams, design systems, write code, or manage projects from anywhere in the world. This work arrangement allows for greater flexibility and can help companies access a wider pool of talent. However, it also requires strong communication skills and self-discipline to maintain productivity and teamwork.

What are the key skills and qualifications needed to thrive as a remote engineer?

To thrive as a Remote Engineer, you need strong technical expertise in your engineering discipline, a relevant degree, and experience with distributed systems or remote collaboration. Familiarity with tools such as Git, cloud platforms (e.g., AWS, Azure), and team communication software like Slack or Zoom is typically required. Excellent self-motivation, time management, and clear written communication distinguish top performers in remote settings. These skills and qualities are crucial for delivering high-quality engineering solutions and maintaining productivity while collaborating with geographically dispersed teams.

How do remote engineering teams typically coordinate and communicate to ensure project success?

Remote engineering teams commonly use a combination of collaboration tools like Slack, Jira, and GitHub to stay connected and manage projects efficiently. Regular virtual stand-ups, sprint planning meetings, and code reviews help maintain alignment and transparency among team members. Clear documentation and proactive communication are essential to overcome time zone differences and prevent misunderstandings. Most teams also establish shared coding standards and utilize version control to streamline contributions from multiple engineers working remotely.

What is the difference between Remote Engineering vs Remote Software Developer?

AspectRemote EngineeringRemote Software Developer
Required CredentialsBachelor's in Engineering, relevant certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentDesign, testing, and overseeing engineering projects remotelyWriting, testing, and deploying software remotely
Employer & Industry UsageEngineering firms, manufacturing, infrastructureTech companies, startups, software firms
Search & Comparison IntentUnderstanding engineering roles vs software roles remotely

Remote Engineering involves designing and managing engineering projects remotely, often requiring technical certifications and a background in engineering disciplines. Remote Software Developers focus on coding and software deployment from a remote location, typically with programming certifications. While both roles can be performed remotely, Remote Engineering emphasizes project oversight and technical engineering tasks, whereas Remote Software Development centers on software creation and maintenance.

What are the most commonly searched types of Engineering jobs in Warren, MI?

The most popular types of Engineering jobs in Warren, MI are:

What are popular job titles related to Remote Engineering jobs in Warren, MI?

For Remote Engineering jobs in Warren, MI, the most frequently searched job titles are:

What job categories do people searching Remote Engineering jobs in Warren, MI look for?

The top searched job categories for Remote Engineering jobs in Warren, MI are:

What cities near Warren, MI are hiring for Remote Engineering jobs?

Cities near Warren, MI with the most Remote Engineering job openings:

Remote Engineering jobs near you
Infographic showing various Remote Engineering job openings in Warren, MI as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $59,150 per year, or $28.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester Hills, 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