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Mid Level Software Engineer Jobs in Michigan (NOW HIRING)

Collabera

Software Developer

Portage, MI

Software Developer Location: Portage, MI Duration: 12 month (may extend) Manager's Note: We are ... Researches, designs, develop and integrate applications at a mid-level as per written ...

Eccalon LLC

Senior Software Engineer - onsite

Detroit, MI

$116K - $153K/yr

Mentor junior and mid-level engineers and provide technical guidance * Participate in code reviews ... years of professional software engineering experience * Strong proficiency in one or more ...

Eccalon LLC

Principal Software Engineer- Onsite

Detroit, MI

$127K - $171K/yr

Principal Software Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Mentor senior and mid-level engineers * Elevate engineering quality through design reviews and code ...

Stellantis

Software Engineer

Auburn Hills, MI · On-site

... mid-level engineers and conduct code reviews • Collaborate cross-functionally with product ... software engineering experience • A minimum of 3 years of hands-on experience designing and ...

SME

Mid-Level Structural Engineer

Plymouth, MI · On-site

SME is seeking a Mid-Level Structural Engineer to join our Building Materials Group in our Plymouth ... Experience using industry-standard structural analysis and design software, such as STAAD, RISA ...

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All JobsMid Level Software Engineer JobsMid Level Software Engineer Jobs in Michigan

Mid Level Software Engineer information

See Michigan salary details

$55.3K

$128.6K

$179.1K

How much do mid level software engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for mid level software engineer in Michigan is $128,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $150,800.00 per year, depending on experience, location, and employer.

What is a Mid Level Software Engineer job?

A Mid Level Software Engineer is a professional with a few years of experience who develops, tests, and maintains software applications. They work independently on tasks, contribute to code reviews, and collaborate with teams to design and implement solutions. Mid-level engineers are expected to write clean, efficient code, troubleshoot issues, and improve system performance. They may also mentor junior developers and participate in architectural discussions. Typically, they have strong problem-solving skills and proficiency in programming languages relevant to their role.

What typical responsibilities can I expect as a Mid Level Software Engineer?

As a Mid Level Software Engineer, you will be involved in designing, coding, testing, and maintaining software applications, often working on both new and existing projects. You’ll collaborate with other engineers, product managers, and QA teams to deliver features that meet business requirements, while also participating in code reviews and contributing to architectural decisions. Your responsibilities may also include troubleshooting bugs, refining development processes, and occasionally mentoring junior engineers. This role typically offers a blend of technical challenge, teamwork, and opportunities for continued skill development.

What are the key skills and qualifications needed to thrive in the Mid Level Software Engineer position, and why are they important?

To thrive as a Mid Level Software Engineer, you need a solid understanding of software development principles, programming languages such as Java, Python, or C#, and a bachelor’s degree in computer science or a related field. Experience with version control systems like Git, familiarity with agile methodologies, and sometimes certifications such as AWS Certified Developer or Microsoft Certified: Azure Developer Associate are advantageous. Strong problem-solving skills, teamwork, and effective communication are standout soft skills in this position. These combined skills enable engineers to deliver high-quality code, collaborate efficiently within development teams, and adapt to evolving project requirements.

What are the most commonly searched types of Software Engineer jobs in Michigan? The most popular types of Software Engineer jobs in Michigan are:
What are popular job titles related to Mid Level Software Engineer jobs in Michigan? For Mid Level Software Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Mid Level Software Engineer jobs in Michigan look for? The top searched job categories for Mid Level Software Engineer jobs in Michigan are:
What cities in Michigan are hiring for Mid Level Software Engineer jobs? Cities in Michigan with the most Mid Level Software Engineer job openings:
Mid Level Software Engineer jobs near you
Mid-Level AI Software Test Engineer

Mid-Level AI Software Test Engineer

Indotronix International Corporation

Ann Arbor, MI • On-site

Full-time

Posted 2 days ago

New

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 :
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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

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