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Remote Field Software Engineer Jobs in Wisconsin

Software Engineering Manager

Windsor, WI · On-site +1

$135K - $160K/yr

We are looking for a Software Engineering Manager to lead a multi-domain software team building ... Master's degree in a relevant field * Experience integrating AI/ML capabilities into products or ...

... software, we empower people and transform industries. Important Notes about this Position ... This position offers remote work flexibility but is only open to candidates who reside in or are ...

Join KEYENCE as a Field Application Engineer Training Classes Begins January or July 2027 Multiple ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

Showing results 41-60

Remote Field Software Engineer information

What is the difference between Remote Field Software Engineer vs Remote Software Developer?

AspectRemote Field Software EngineerRemote Software Developer
Required CredentialsBachelor's in CS or related field, coding skills, sometimes certificationsBachelor's in CS or related field, coding skills, sometimes certifications
Work EnvironmentOn-site client locations, field visits, remote work possiblePrimarily remote, office or home-based
Employer & Industry UsageTech, manufacturing, utilities, field service companiesTech, startups, software firms, corporate IT
Search & Comparison IntentUnderstanding field-based roles, on-site workFocus on remote coding and development tasks

The main difference is that Remote Field Software Engineers often work on-site at client locations, handling hardware integration and field-specific tasks, while Remote Software Developers typically work remotely on software coding and development projects. Both roles require similar technical credentials but differ in work environment and industry application.

What are the most commonly searched types of Field Software Engineer jobs in Wisconsin? The most popular types of Field Software Engineer jobs in Wisconsin are:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kenosha, WI • Remote

Full-time

Re-posted 18 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.