ZipRecruiter

Log In

1

Software Development Jobs in Manchester, MI (NOW HIRING)

ITW Avery Weigh-Tronix

Embedded Software Engineer

MI

$118K - $156K/yr

Software Design & Development • Develop, code, test, and debug new embedded software or enhancements to existing software for third-party customers and internal product lines. • Work from ...

Sonsoft Inc

Sr. .Net Developer

Ann Arbor, MI · On-site

$53.25 - $70.50/hr

Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. --> 5+ years of experience developing ...

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. * 3-6 years of software development experience. * 2+ years of experience building AI/ML or Generative AI ...

OPUS IVS INC

Software Developer in Test

Dexter, MI

$47.75 - $61.50/hr

Position Summary The Software Developer in Test is responsible for owning quality across multiple ... Demonstrate working knowledge of the full development stack, including WPF, MVVM, DI, WCF/SOAP and ...

OPUS IVS INC

Software Developer in Test

Dexter, MI · On-site

$47.75 - $61.50/hr

Position Summary The Software Developer in Test is responsible for owning quality across multiple ... Demonstrate working knowledge of the full development stack, including WPF, MVVM, DI, WCF/SOAP and ...

Torc Robotics

Software Integration Engineer

Ann Arbor, MI

$101K - $137K/yr

Through Hardware-in-the-Loop systems, on-truck development, automation frameworks, validation infrastructure, and integration tooling, we help ensure software developed across Torc can be ...

next page

Showing results 1-20

All JobsSoftware Development JobsSoftware Development Jobs in Manchester, MI

Software Development information

See Manchester, MI salary details

$73.4K

$131.2K

$164.8K

How much do software development jobs pay per year?

As of Jul 13, 2026, the average yearly pay for software development in Manchester, MI is $131,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $150,500.00 per year, depending on experience, location, and employer.

What is software development?

Software development is the process of designing, creating, testing, and maintaining computer programs or applications. It involves a range of tasks including writing code, debugging, and collaborating with other team members to solve problems and deliver functional software solutions. Software development can encompass everything from mobile apps and websites to large-scale enterprise systems. Developers use various programming languages and tools depending on the project requirements.

What are some common challenges software developers face when working on collaborative projects, and how can these be addressed?

Software developers often encounter challenges such as coordinating code changes, managing merge conflicts, and ensuring consistent communication across the team during collaborative projects. To address these issues, teams typically use version control systems like Git, establish clear coding standards, and hold regular stand-up meetings to keep everyone aligned. Additionally, utilizing code review processes and project management tools helps maintain quality and transparency, making collaboration smoother and more efficient.

What is the difference between Software Development vs Software Engineering?

AspectSoftware DevelopmentSoftware Engineering
CredentialsTypically requires a degree in computer science or related field, coding certificationsSimilar credentials, often includes certifications in software engineering principles
Work EnvironmentDeveloping, coding, and testing software applicationsDesigning, analyzing, and managing software projects and systems
Industry UsageCommonly used in tech companies, startups, and software firmsUsed in larger organizations, focusing on system architecture and process
Search & Comparison IntentFocuses on coding and application creationEmphasizes system design and engineering principles

While both roles involve software creation, Software Development primarily focuses on coding and building applications, whereas Software Engineering encompasses designing, analyzing, and managing complex software systems with a broader engineering perspective.

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

To thrive as a Software Developer, you need strong programming skills (such as Python, Java, or C++), problem-solving abilities, and typically a degree in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and sometimes certifications in cloud platforms or specific frameworks are often required. Collaboration, adaptability, and effective communication are essential soft skills for working in diverse development teams and navigating project requirements. These skills and qualities ensure efficient code development, seamless teamwork, and successful delivery of robust software solutions.
What cities near Manchester, MI are hiring for Software Development jobs? Cities near Manchester, MI with the most Software Development job openings:
Software Development jobs near you
Infographic showing various Software Development job openings in Manchester, MI as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $131,190 per year, or $63.1 per hour.
Mid-Level AI Software Test Engineer

Mid-Level AI Software Test Engineer

Indotronix International Corporation

Ann Arbor, MI • On-site

Full-time

Posted 7 days ago

Job description

Mid-Level AI Software Test Engineer | Ann Arbor, Michigan, United States
Mid-Level AI Software Test Engineer
Position Summary
We are seeking a Mid-Level AI Software Test Engineer to lead the quality assurance, validation, and automation efforts for AI-powered applications, machine learning systems, AI agents, copilots, and generative AI solutions. This role combines traditional software quality engineering practices with emerging AI testing methodologies to ensure AI systems are accurate, reliable, secure, scalable, and production-ready.
The ideal candidate has a strong foundation in software testing and automation, along with experience or exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, Model Context Protocol (MCP) integrations, and machine learning platforms. This role plays a critical part in establishing AI quality standards, evaluation frameworks, governance controls, and automated testing capabilities across the AI development lifecycle.
Professional Experience:
  • 3-6 years of software quality engineering, QA automation, or software testing experience.
  • 1-3 years of experience or practical exposure to AI, machine learning, or generative AI technologies preferred

Work Style:
This role is expected to operate with moderate independence, owning AI testing initiatives from planning through execution while collaborating closely with engineers, architects, product teams, and stakeholders to deliver high-quality AI solutions.
Mid-Level AI Software Test Engineer
(Also known as: AI Quality Engineer, Generative AI Test Engineer, AI Automation Engineer, AI Validation Engineer, SDET-AI)
Key Responsibilities
AI Quality Engineering
  • Develop and execute comprehensive testing strategies for AI applications, platforms, and services.
  • Validate AI-generated outputs for accuracy, consistency, relevance, reliability, and safety.
  • Design and perform functional, integration, end-to-end, regression, and performance testing for AI-powered solutions.
  • Create and maintain test cases for prompt-driven applications, AI agents, RAG systems, and workflow orchestration platforms.
  • Validate AI guardrails, business rules, permissions models, compliance requirements, and governance controls.
  • Conduct adversarial, negative, and edge-case testing to identify hallucinations, unsafe behavior, model drift, and failure scenarios.
  • Establish quality benchmarks and acceptance criteria for AI solutions.

Test Automation & Evaluation
  • Design, build, and maintain automated test frameworks for AI applications and services.
  • Develop automated evaluation pipelines to assess AI responses, workflows, and model behavior.
  • Integrate AI testing processes into CI/CD pipelines.
  • Implement automated quality scoring, benchmarking, and regression detection capabilities.
  • Create reusable test datasets, simulators, mocks, and validation frameworks to support scalable testing.

Platform & Integration Testing
  • Test AI agents, copilots, APIs, workflow engines, MCP integrations, and tool-calling capabilities.
  • Validate integrations with enterprise systems, external APIs, databases, and knowledge repositories.
  • Verify performance, reliability, scalability, resiliency, and availability of AI workloads.
  • Execute load, stress, and performance testing for AI applications and services.
  • Identify, document, and troubleshoot defects across application, infrastructure, model, and integration layers.

Collaboration & Continuous Improvement
  • Partner closely with software engineers, AI engineers, solution architects, product owners, and security teams.
  • Participate in solution design reviews and provide quality-related recommendations early in the development lifecycle.
  • Contribute to testing standards, methodologies, best practices, and AI quality frameworks.
  • Support production readiness reviews, defect triage, root cause analysis, and continuous improvement initiatives.
  • Promote responsible AI practices and help ensure alignment with organizational governance, privacy, risk, and compliance requirements.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 3-6 years of experience in software testing, quality assurance, quality engineering, or test automation.
  • Experience developing automated testing solutions using one or more of the following:
    • Python
    • Java
    • JavaScript / TypeScript
    • C#
  • Experience with API testing and automation frameworks.
  • Strong understanding of:
    • Test automation methodologies
    • Software Development Lifecycle (SDLC)
    • Agile development practices
    • CI/CD pipelines and DevOps principles
  • Experience testing distributed systems, web applications, APIs, and enterprise platforms.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills.

Preferred Qualifications
  • Experience testing:
    • Generative AI applications
    • LLM-based systems
    • AI agents and autonomous workflows
    • Retrieval-Augmented Generation (RAG) solutions
    • MCP-based integrations
  • Familiarity with leading AI platforms and models, including:
    • OpenAI
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
  • Experience developing AI evaluation, benchmarking, and validation frameworks.
  • Experience testing cloud-native applications on:
    • Microsoft Azure
    • Amazon Web Services (AWS)
    • Google Cloud Platform (GCP)
  • Knowledge of:
    • Responsible AI principles
    • AI governance frameworks
    • AI risk management and compliance practices
    • Privacy and security considerations for AI systems

Required Skills : • Experience testing: o Generative AI applications o LLM-based systems o AI agents o RAG applications o MCP-based integrations • Familiarity with: o OpenAI o Claude o Gemini o Azure OpenAI • Experience building evaluation and benchmarking frameworks for AI solutions. • Experience testing cloud-native applications on Azure, AWS, or GCP. • Knowledge of responsible AI, AI governance, and AI risk management practices. AI initiatives are typically expected to align with enterprise governance, risk, privacy, and compliance requirements. Technical Skills
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Client :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship :Yes
Interview times set :Yes
Type of project :
Master Job Title :
Branch Code :
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

View All Indotronix Jobs

Apply