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Mid Level Java Developer Jobs in South Lyon, MI (NOW HIRING)

KBTS Technologies Inc

.Net Developer

Detroit, MI · On-site

$44.25 - $58.25/hr

Detroit, MI Duration: 12+ months (extendable) Rate: $doe 100% Onsite We are looking for a mid-level ... NET, Oracle, Java) preferred. • We are looking for a candidate that is local to the Detroit area ...

Tech Mahindra

Full Stack Java Developer

Dearborn, MI · On-site

$100 - $125/hr

... concepts, JAVA/Angular programming and Automation testing. Job involves software engineering ... The exact offer terms will depend on the skill level, educational qualifications, experience 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, Michigan office. This position is performed in person and includes regular collaboration in the ...

Varsity Tutors

Java Tutor

Detroit, MI · Remote

$18 - $40/hr

... engineering. * Curriculum Awareness & Adaptive Instruction: Familiar with Java curricula including AP Computer Science A and college-level courses, and common challenges such as understanding ...

Varsity Tutors

Java Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... engineering. * Curriculum Awareness & Adaptive Instruction: Familiar with Java curricula including AP Computer Science A and college-level courses, and common challenges such as understanding ...

NDC

Lead Java Developer

Auburn Hills, MI

In-depth experience at the application and user interface level * Experience with Asynchronous programming; experience with Networking protocols * Experience with source code management tools (Git ...

Oshkosh Corporation

Machinist - Mid Level

New Hudson, MI · On-site

$20.75 - $28.50/hr

Our range of research & development, engineering, prototype manufacturing, test & validation, and ... JOB SUMMARY: The Machine Operator II performs intermediate-level machining tasks with minimal ...

Stefanini

Java Full Stack Developer

Dearborn, MI · On-site

$48.25 - $62.50/hr

Stefanini is looking for a Java Full Stack Developer, Dearborn, MI (Onsite) For quick apply, please ... Create high-level software architecture designs that outline the overall structure, components, and ...

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Mid Level Java Developer information

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

As of Sep 8, 2026, the average hourly pay for mid level java developer in South Lyon, MI is $53.77, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $61.30 per hour, depending on experience, location, and employer.

What is a mid level Java developer?

A Mid Level Java Developer is responsible for designing, developing, and maintaining Java-based applications. They typically have 2-5 years of experience and work on coding, debugging, and optimizing software solutions. They collaborate with teams, follow best coding practices, and may mentor junior developers. Their role involves understanding project requirements, integrating APIs, and ensuring application performance. Mid Level Java Developers contribute to both backend and frontend development, depending on the project needs.

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

Successful Mid Level Java Developers possess a solid understanding of Java programming, object-oriented design, and commonly used frameworks such as Spring or Hibernate, typically backed by a relevant degree and professional experience. Familiarity with tools like Git, Maven, popular IDEs (e.g., IntelliJ IDEA or Eclipse), and certifications like Oracle Certified Professional Java Programmer (OCPJP) are advantageous. Strong collaboration, problem-solving abilities, and effective communication skills help developers work efficiently within agile teams and cross-functional projects. Mastering both technical and soft skills ensures smooth project delivery, maintainable code quality, and productive teamwork in dynamic software development environments.

What does a typical workday look like for a mid level Java developer?

As a Mid Level Java Developer, your typical workday often involves writing and testing Java code, troubleshooting existing applications, and participating in code reviews. You'll collaborate closely with other developers, QA engineers, and sometimes product managers in agile sprints to ensure features are delivered according to requirements. Daily stand-up meetings are common, as is the use of tools like Jira for tracking tasks. You may also spend time learning new frameworks or best practices, which helps with both personal growth and contributing to more efficient software solutions.

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Mid-Level AI Software Test Engineer

Ann Arbor, MI • On-site

Indotronix International Corporation
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Indotronix International Corporationexternal

Full-time

Re-posted 5 days ago

Job description

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

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