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Remote Software Engineer Jobs in Sheboygan, WI (NOW HIRING)

This position partners with software engineers, DevOps teams, and security professionals to embed security into the full software development lifecycle. Collaborate within an expanding Cybersecurity ...

... Professionals, Software Developers, IT, Project Management Professionals, and more. At NV5 ... Remote flying experience in Alaska or similar. * Master's degree (MBA or Aviation Management ...

Remote Software Engineer information

See Sheboygan, WI salary details

$63.3K

$147K

$204.8K

How much do remote software engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote software engineer in Sheboygan, WI is $147,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $172,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote software engineers, and how can they be effectively managed?

Remote software engineers often encounter challenges such as communication barriers, time zone differences, and maintaining work-life balance. These can be effectively managed by utilizing collaboration tools (like Slack or Zoom), setting clear expectations with team members, and establishing a dedicated workspace. Regular check-ins, asynchronous updates, and proactive communication help ensure everyone stays aligned on project goals. Building strong relationships with colleagues through virtual meetings and team-building activities can also foster a supportive remote work environment.

What are the key skills and qualifications needed to thrive as a Remote Software Engineer, and why are they important?

To thrive as a Remote Software Engineer, you need strong programming skills, proficiency in software development methodologies, and typically a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms, and project management tools such as Jira is often required. Excellent communication, self-motivation, and time management are crucial soft skills for remote collaboration. These abilities ensure effective development, seamless teamwork, and productivity in a distributed work environment.

What Does a Remote Software Engineer Do?

As a remote software engineer, you work from home to create and develop systems using programming languages and frameworks. As part of your duties, you design and install software solutions by determining specifications and developing code. You also improve software initiatives by reviewing systems and recommending solutions, often virtually guiding clients through the database, network, and computer processes. By collecting and analyzing issues, you can develop solutions for a variety of technical problems. The remote aspect of this job means you can work from anywhere with a reliable internet connection.

What are Remote Software Engineers?

Remote Software Engineers are professionals who design, develop, test, and maintain software applications from locations outside of a traditional office environment. They collaborate with teams and clients using digital communication tools, allowing for flexible work arrangements. Remote Software Engineers require strong technical and communication skills, as well as the ability to manage their own schedules and work independently. This role is ideal for individuals who are self-motivated and comfortable working in a virtual setting.

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

AspectRemote Software EngineerRemote Web Developer
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, design, or related field, coding skills
Work EnvironmentCollaborates on software projects, often in teamsFocuses on website and web app development, often in teams
Employer & Industry UsageTech companies, startups, software firmsWeb agencies, tech companies, startups
Search & Comparison IntentOften compared for software development rolesRelated but more focused on web-specific tasks

Remote Software Engineers develop a wide range of software applications, while Remote Web Developers specialize in building websites and web-based applications. Both roles require similar technical skills and often work in similar environments, but their focus areas differ, making this comparison useful for those exploring career options or job opportunities in tech.

What are the most commonly searched types of Software Engineer jobs in Sheboygan, WI? The most popular types of Software Engineer jobs in Sheboygan, WI are:
What are popular job titles related to Remote Software Engineer jobs in Sheboygan, WI? For Remote Software Engineer jobs in Sheboygan, WI, the most frequently searched job titles are:
What cities near Sheboygan, WI are hiring for Remote Software Engineer jobs? Cities near Sheboygan, WI with the most Remote Software Engineer job openings:
Infographic showing various Remote Software Engineer job openings in Sheboygan, WI as of June 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,019 per year, or $70.7 per hour.

Senior Software Engineer - Generative AI

Accuity

Sheboygan, WI โ€ข On-site, Remote

$132K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.
Acuity will include at least one in-person interview during the hiring process for all positions.
ESSENTIAL FUNCTIONS:
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.

EDUCATION:
Bachelor's degree or equivalent combination of education and experience in software engineering, computer science, or related field.
EXPERIENCE:
A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.
OTHER QUALIFICATIONS:
  • Expertise across a wide range of tools and technologies, including.
    • Programming languages such as Java, Python, and JavaScript.
    • Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
    • Familiarity with web UI frameworks such as Vue, React, or Angular.
    • Knowledge of software development workflows, CI/CD pipelines and version control tools.
    • AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
    • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
    • Familiarity with AI Observability tools to monitor and debug AI responses.
    • Understanding API Management, including rate limiting, latency, and token cost optimization.
    • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
  • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
  • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
  • Strong communication skills and ability to work with cross functional teams.
  • Excellence in documentation, testing practices, and operational reliability.
  • Ability to stay current with AI advancements, LLM research, and evolving best practices.
  • Passion for building reliable, safe, and impactful Generative AI systems.

*Acuity does not sponsor applicants for U.S. work authorization.*
This job is classified as exempt.
The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicant's education, experience, knowledge, skills, and abilities.
For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.
We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
Acuity will include at least one in-person interview during the hiring process for all positions.
If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.