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Mid Level Developer Jobs in Belleville, MI (NOW HIRING)

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, Michigan office. This position is performed in person and includes regular collaboration in the ...

Barr

Structural Engineer - Mid Level (Hybrid)

Ann Arbor, MI · Hybrid

$85K - $120K/yr

Technical knowledge: engineering calculations and modeling for a variety of industrial and energy ... Compensation will vary based on relevant experience, education, skill level, and other compensable ...

Barr

Structural Engineer - Mid Level (Hybrid)

Ann Arbor, MI · Hybrid

$85K - $120K/yr

Technical knowledge: engineering calculations and modeling for a variety of industrial and energy ... Compensation will vary based on relevant experience, education, skill level, and other compensable ...

Barr

Electrical Engineer - Mid Level (Hybrid)

Ann Arbor, MI · Hybrid

$90K - $115K/yr

The role - what you'll do Barr is seeking an electrical engineer to join our team in our Ann Arbor ... Compensation will vary based on relevant experience, education, skill level, and other compensable ...

Barr

Civil Engineer - Mid Level (Hybrid)

Ann Arbor, MI · Hybrid

$82K - $98K/yr

... engineering experience. Compensation : Anticipated range of $82,000- $98,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors.

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All JobsMid Level Developer JobsMid Level Developer Jobs in Belleville, MI

Mid Level Developer information

See Belleville, MI salary details

$10.3K

$81.5K

$106.3K

How much do mid level developer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for mid level developer in Belleville, MI is $81,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $101,100.00 per year, depending on experience, location, and employer.

What is a mid level developer?

Mid Level Developers are software professionals who have gained several years of experience beyond entry-level positions and are proficient in coding, debugging, and collaborating on projects. They possess a strong understanding of programming languages, frameworks, and software development processes. Mid Level Developers often take on more responsibility than junior developers, such as mentoring newer team members, contributing to architectural decisions, and ensuring code quality. They are expected to work independently on tasks, communicate effectively with team members, and deliver reliable solutions to complex problems.

What is the difference between Mid Level Developer vs Junior Developer?

AspectMid Level DeveloperJunior Developer
Experience2-4 years0-2 years
SkillsProficient in multiple programming languages, problem-solving, and project contributionBasic coding skills, learning foundational concepts
ResponsibilitiesDeveloping features, debugging, collaborating on projectsAssisting in tasks, learning codebases, under supervision
Work EnvironmentIndependent work, team collaboration, project ownership

The main difference between a Mid Level Developer and a Junior Developer lies in experience, skill proficiency, and responsibilities. Mid Level Developers have more experience, can handle complex tasks independently, and contribute significantly to projects, whereas Junior Developers are still learning foundational skills and typically work under supervision.

What are the key skills and qualifications needed to thrive as a mid level developer?

To thrive as a Mid Level Developer, you need solid programming skills in languages such as Java, Python, or JavaScript, along with a relevant degree or equivalent experience. Familiarity with version control systems like Git, integrated development environments (IDEs), and frameworks such as React or Spring Boot is typically required. Effective problem-solving, teamwork, and strong communication skills help you collaborate and adapt to project needs. These abilities ensure you can deliver reliable code, work smoothly with colleagues, and contribute to successful software projects.

What opportunities for professional growth can a mid level developer typically expect within a software development team?

As a Mid Level Developer, you can expect to take on more complex projects, mentor junior team members, and gradually assume greater ownership of features or modules. Many organizations support growth through peer code reviews, access to learning resources, and the chance to participate in architectural discussions. Advancement paths often include moving toward senior developer roles, technical leads, or specializing in areas like DevOps or security, depending on your interests and the company's needs.
What are the most commonly searched types of Developer jobs in Belleville, MI? The most popular types of Developer jobs in Belleville, MI are:
What are popular job titles related to Mid Level Developer jobs in Belleville, MI? For Mid Level Developer jobs in Belleville, MI, the most frequently searched job titles are:
What cities near Belleville, MI are hiring for Mid Level Developer jobs? Cities near Belleville, MI with the most Mid Level Developer job openings:
Mid Level Developer jobs near you
Infographic showing various Mid Level Developer job openings in Belleville, MI as of July 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $81,529 per year, or $39.2 per hour.

Mid-Level AI Software Test Engineer

Indotronix International Corporation

Ann Arbor, MI • On-site

Full-time

Re-posted 13 hours 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 :
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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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