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Mid Level Android Developer Jobs in Detroit, 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 ...

FastTek

Software Engineer

Dearborn, MI

Design and develop middleware and Android background services for platform-level functionality * Debug and reverse-engineer complex issues directly from Android Open Source Project (AOSP) source code ...

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Showing results 21-40

All JobsMid Level Android Developer JobsMid Level Android Developer Jobs in Detroit, MI

Mid Level Android Developer information

See Detroit, MI salary details

$9

$55

$75

How much do mid level android developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for mid level android developer in Detroit, MI is $55.23, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $63.65 per hour, depending on experience, location, and employer.

What are some common challenges faced by mid level Android developers when working on large scale mobile applications?

Mid-level Android developers often encounter challenges related to maintaining code quality and consistency as applications grow in complexity. Navigating legacy code, integrating new features without introducing bugs, and managing dependencies can be particularly demanding. Additionally, collaborating with cross-functional teams—such as designers, backend developers, and QA testers—requires strong communication and problem-solving skills. Regular code reviews, adopting modular architectures like MVVM or Clean Architecture, and staying updated with the latest Android best practices can help address these challenges.

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

CriteriaMid Level Android DeveloperJunior Android Developer
Experience2-4 years0-1 year
SkillsProficient in Android SDK, Java/Kotlin, UI/UX design, debuggingBasic understanding of Android development, simple app creation
ResponsibilitiesDeveloping features, code reviews, troubleshootingAssisting in development, learning codebase, bug fixing
Work EnvironmentCollaborative teams, project-based tasksSupervised tasks, entry-level projects

The Mid Level Android Developer typically has more experience and handles complex tasks independently, while the Junior Android Developer focuses on learning and supporting basic development activities. Both roles are essential in Android app development teams, with the mid-level position requiring a deeper skill set and greater responsibility.

What does a mid level Android developer do?

A Mid Level Android Developer designs, builds, tests, and maintains mobile applications for devices running the Android operating system. They typically work with Java or Kotlin, collaborate with cross-functional teams, and ensure that apps are user-friendly and efficient. Their responsibilities often include troubleshooting bugs, optimizing performance, and implementing new features based on user feedback. Mid level developers are expected to have a strong foundation in Android frameworks and tools, as well as experience with version control systems like Git.

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

To thrive as a Mid Level Android Developer, you need proficiency in Java and Kotlin, experience with Android SDK, and a solid understanding of mobile app architecture and UI/UX principles, typically backed by a relevant degree or portfolio. Familiarity with tools such as Android Studio, Git, Firebase, and RESTful APIs is essential, and certifications in Android development can be advantageous. Strong problem-solving, communication, and collaboration skills help you work effectively in development teams and adapt to fast-changing project requirements. These combined skills ensure the delivery of robust, user-friendly mobile applications and contribute to the overall success of the product and team.
What are the most commonly searched types of Android Developer jobs in Detroit, MI? The most popular types of Android Developer jobs in Detroit, MI are:
What are popular job titles related to Mid Level Android Developer jobs in Detroit, MI? For Mid Level Android Developer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Mid Level Android Developer jobs in Detroit, MI look for? The top searched job categories for Mid Level Android Developer jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Mid Level Android Developer jobs? Cities near Detroit, MI with the most Mid Level Android Developer job openings:
Mid Level Android Developer jobs near you
Infographic showing various Mid Level Android Developer job openings in Detroit, MI as of July 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $114,882 per year, or $55.2 per hour.

Mid-Level AI Software Test Engineer

Indotronix International Corporation

Ann Arbor, MI • On-site

Full-time

Re-posted 3 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 :
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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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